# Kolena > Explore Kolena’s blog for expert insights on AI agents transforming business workflows. Stay updated on AI automation trends and innovations. --- ## Pages - [Kolena Data Terms & Conditions](https://www.kolena.com/data-tac/): Understand your rights and obligations with Kolena's Data Terms & Conditions. Learn about our legal guidelines for Kolena data use. - [Kolena Service Terms & Conditions](https://www.kolena.com/tac/): Understand your rights and obligations with Kolena's Terms & Conditions. Learn about our legal guidelines for Kolena service use. - [AI for Insurance](https://www.kolena.com/insurance/): Streamline insurance operations with Kolena’s AI Agent platform. Automate claims processing, policy reviews, and compliance checks using AI. - [AI for Real Estate](https://www.kolena.com/real-estate/): Transform real-estate document workflows with Kolena’s AI platform. Automate lease reviews, property due diligence, & more. - [Home 2025-03-17](https://www.kolena.com/): Kolena delivers AI for business. Easily create AI agents that automate workflows, eliminate repetitive tasks, and prevent human error. - [Access Kolena](https://www.kolena.com/access-kolena/): Request access to Kolena’s AI Agent platform—built to automate document heavy workflows in real estate, insurance, finance, and beyond. - [Use Cases - What Can You Automate With AI?](https://www.kolena.com/use-cases/): Explore Kolena’s AI Agent use cases. Automate document workflows across industries like finance, insurance, and real estate for efficiency. - [Request a demo - Agent Eval](https://www.kolena.com/agents-demo/): Request a demo for the Kolena platform for evaluating AI Agents - [AI Quality](https://www.kolena.com/ai-quality/): Ensure enterprise-grade quality with Kolena’s specialized AI agents. Automate complex workflows with transparent, reliable AI solutions. - [Corporate](https://www.kolena.com/corporate/): Kolena's AI Agent platform is transforming business workflows. Cost-savings, faster processes, and scalability with AI. - [AI for Financial Services](https://www.kolena.com/finance/): Unlock faster financial workflows with Kolena’s AI platform. Automate document analysis, streamline underwriting, and extract insights. - [Request Access](https://www.kolena.com/request-access/): See Kolena’s AI Agent platform in action; request a personalized demo to automate document workflows, and gain actionable insights. - [Book a Demo](https://www.kolena.com/request-a-demo/): See Kolena’s AI Agent platform in action; request a personalized demo to automate document workflows, and gain actionable insights. - [Kolena AI Agents](https://www.kolena.com/restructured/): Quickly Build custom AI agents with Kolena. Automate document workflows, extract insights, and scale enterprise-grade data analysis with trusted, secure AI. - [AutoArena](https://www.kolena.com/autoarena/): Evaluate LLMs, RAG systems, and generative AI applications using Kolena's AutoArena. Ensure trustworthy, accurate AI evaluations - [LLM/Agents](https://www.kolena.com/llm/): Boost trust and performance with Kolena’s AI quality platform. Automate metadata extraction, in-depth evaluation, human-in-the-loop testing, and CI/CD workflows for LLM-powered tasks. - [Product](https://www.kolena.com/product/): Explore Kolena’s AI Quality platform; automate document workflows, evaluate model performance, and integrate seamlessly via CI/CD APIs. - [Careers](https://www.kolena.com/careers/): Join Kolena’s team building AI agents. Explore open roles, enjoy flexible work, and help shape the future of enterprise automation. - [Our Security Commitment](https://www.kolena.com/security/): Discover how Kolena ensures enterprise-grade security—data encryption, SOC 2 compliance, access control, and auditing. - [Terms & Conditions](https://www.kolena.com/terms-conditions/): Review Kolena’s Terms & Conditions to understand your rights, obligations, and the rules governing use of our AI platform and services. - [About Us](https://www.kolena.com/about/): Learn about Kolena’s mission to help businesses build fast, reliable, and scalable workflow solutions with AI Agents. - [Contact Us](https://www.kolena.com/contact-us/): Get in touch with the Kolena team to learn how our AI-powered solutions can transform your business workflows. - [Schedule a Demo](https://www.kolena.com/schedule-a-demo/): Schedule a live demo of Kolena’s AI-powered Quality platform and see news ways of model evaluation and CI/CD integration. - [Blog](https://www.kolena.com/blog/): Explore Kolena’s blog for expert insights on AI agents transforming business workflows. Stay updated on AI automation trends and innovations. - [Privacy Policy](https://www.kolena.com/privacy-policy/): Read Kolena’s Privacy Policy to learn how we collect, use, and protect your data. --- ## Posts - [Lease Review AI Prompt: Streamline Lease Abstraction](https://www.kolena.com/blog/lease-review-ai-prompt-streamline-lease-abstraction/): Explore how lease review AI prompts accelerate lease abstraction, reduce manual work, and scale real estate operations. - [GCPay: Streamlining Construction Payments with Automation and AI](https://www.kolena.com/blog/gcpay-streamlining-construction-payments-with-automation-and-ai/): Learn GCPay's role in construction payment processing, and see how AI solutions can take construction payment automation to the next level. - [AI Real Estate Description: Transforming Property Marketing](https://www.kolena.com/blog/ai-real-estate-description-transforming-property-marketing/): AI real estate description tools automate payapp reports, lease abstractions, offering memoranda, and more to drive efficiency and growth. - [The Contractor Payment Software Revolution: From 82-Day Payment Delays to Same-Day Processing](https://www.kolena.com/blog/contractor-payment-software/): Discover how contractor payment software can reduce DSO by 40%, save $16 per invoice, and transform cash flow. - [AI Leasing Solutions: Revolutionizing Lease Management](https://www.kolena.com/blog/ai-leasing-solutions-revolutionizing-lease-management/): AI leasing solutions like payapp automation, lease abstraction, and offering memorandum drafting transform your lease management processes - [Beyond the Bottom Line: How AI is Revolutionizing the AIA Pay Application](https://www.kolena.com/blog/beyond-the-bottom-line-how-ai-is-revolutionizing-the-aia-pay-application/): Manual AIA pay applications are slow and error-prone. AI transforms the G702/G703 process, reduces delays, and improves cash flow. - [Leasing Chatbots: Transforming Property Management](https://www.kolena.com/blog/leasing-chatbots-transforming-property-management/): Discover how leasing chatbots are transforming real estate by automating tenant communication, tour scheduling, and lead qualification. - [Why Leasing Software Is Essential in Modern Real Estate](https://www.kolena.com/blog/why-leasing-software-is-essential-in-modern-real-estate/): Discover how AI-powered leasing software is transforming property management and real estate operations in 2025. - [Agentic Property AI: The Next Frontier in Autonomous Real Estate](https://www.kolena.com/blog/agentic-property-ai-the-next-frontier-in-autonomous-real-estate/): Discover Agentic Property AI. See how autonomous agents automate real estate for radical efficiency, from property management to investment. - [Real Estate Technology Companies Advancing the Industry with AI](https://www.kolena.com/blog/real-estate-technology-companies-advancing-the-industry-with-ai/): Discover how real estate technology companies are using AI for valuation, marketing, risk assessment, property management, and more. - [AIA G702: Automate Your Pay Applications with AI](https://www.kolena.com/blog/aia-g702-automate-your-pay-applications-with-ai/): Learn how the AIA G702 app works, why it's essential for construction billing, and how AI speeds up the review and approval process. - [Lease Abstraction Services in 2025: From Paper Chaos to AI Clarity](https://www.kolena.com/blog/lease-abstraction-services/): Discover modern lease abstraction services—AI, software, outsourcing—to cut costs, boost compliance, and scale real-estate portfolios. - [How Can Real Estate Agents Use AI to Enhance Their Business](https://www.kolena.com/blog/how-can-real-estate-agents-use-ai/): AI can revolutionize the way real estate agents work, from automating lead generation to enhancing customer service. - [AI in Real Estate Development: Transforming the Industry](https://www.kolena.com/blog/ai-in-real-estate-development-transforming-the-industry/): AI in real estate development is optimizing site selection, predicting market trends, streamlining design, and more. - [AI for Real Estate Investors: Smarter Decisions, Greater Returns](https://www.kolena.com/blog/ai-for-real-estate-investors-smarter-decisions-greater-returns/): Learn how real estate investors use AI for underwriting, lease analysis, and portfolio optimization to boost returns. - [Best AI Tools for Real Estate Investors to Boost ROI and Efficiency](https://www.kolena.com/blog/best-ai-tools-for-real-estate-investors-to-boost-roi-and-efficiency/): Discover the top AI tools for real estate investors. Learn how smart tech can maximize returns, automate workflows, and boost decisions. - [Real Estate Underwriting Software and AI](https://www.kolena.com/blog/real-estate-underwriting-software-and-ai/): Real estate underwriting software powered by AI helps investors, lenders, and brokers analyze deals faster, smarter, and with less risk. - [How Commercial Real Estate Underwriting Software is Advancing](https://www.kolena.com/blog/how-commercial-real-estate-underwriting-software-is-advancing/): Commercial real estate underwriting software is transforming the way real estate investors, brokers, and lenders assess properties, and more. - [AIA G703: Automate Your Pay Application Reviews with AI](https://www.kolena.com/blog/automate-aia-g703-reviews-with-ai/): AI-powered automation transforms manual AIA G703 form reviews into fast, accurate processes, saving time and reducing errors. - [Construction Payment Application Reports with AI](https://www.kolena.com/blog/revolutionize-construction-payment-processing-with-ai/): Learn how AI transforms construction payment applications by automating G702 and G703 form reviews, reducing errors, speeding up approvals - [The Future is Now: How Technology for Property Management is Driving Efficiency and Growth](https://www.kolena.com/blog/technology-for-property-management/): Upgrade operations with technology for property management. Discover tools to boost efficiency, cut costs, and improve tenant satisfaction. - [Property Management Automation: The Ultimate Guide to Transforming Your Business in 2025](https://www.kolena.com/blog/property-management-automation/): Discover how property management automation transforms operations, reduces costs by 70%, and increases ROI. Strategies, tools, and trends. - [AI for Property Management: Your Guide to a More Efficient and Profitable Future](https://www.kolena.com/blog/ai-for-property-management/): Discover how AI is revolutionizing property management. Learn how AI tools can automate tasks, reduce costs, and increase your overall ROI. - [Technology in Real Estate: Harnessing Generative AI for a Competitive Edge](https://www.kolena.com/blog/technology-in-real-estate-harnessing-generative-ai-for-a-competitive-edge/): Generative AI is revolutionizing technology in real estate, helping professionals boost efficiency and innovation. - [Real Estate Portfolio Management Software: Scale Smarter](https://www.kolena.com/blog/real-estate-portfolio-management-software/): Discover how real estate portfolio management software streamlines asset tracking, automates reporting, and improves decision-making. - [Automation in Property Development with AI](https://www.kolena.com/blog/automation-in-property-development/): Discover how automation is transforming property development—from site analysis and design to document processing and compliance. - [ChatGPT for Real Estate](https://www.kolena.com/blog/chatgpt-for-real-estate/): Discover how ChatGPT is transforming real estate workflows by generating listings, emails, and reports. Learn its benefits and limitations. - [AI in Real Estate Investing: Transforming Property Decisions](https://www.kolena.com/blog/ai-in-real-estate-investing/): Discover how AI is reshaping real estate investing—from predictive analytics and deal sourcing to rent roll automation. - [How AI is Revolutionizing Commercial Real Estate Property Management Software](https://www.kolena.com/blog/commercial-real-estate-property-management-software-ai/): Discover how commercial real estate property management software is being transformed by AI. Platforms, benefits, implementation, and trends. - [AI Tools Transforming Commercial Real Estate: Your Strategic Guide to 6X ROI](https://www.kolena.com/blog/ai-tools-commercial-real-estate-roi-guide/): Discover how AI tools deliver 3.5X ROI in commercial real estate. 90% faster underwriting, automated lease abstraction - your 2025 CRE guide. - [Commercial Real Estate Investment Management Software Guide 2025](https://www.kolena.com/blog/commercial-real-estate-investment-software-guide/): Commercial real estate investment management software guide. Compare platforms, pricing & features for CRE professionals. - [Real Estate AI Tools: Driving Efficiency and Growth in Real Estate](https://www.kolena.com/blog/real-estate-ai-tools-driving-efficiency-and-growth-in-real-estate/): Discover how real estate AI tools empower commercial firms and residential brokers boost efficiency, cut costs, and drive business growth. - [AI Automation in Real Estate](https://www.kolena.com/blog/ai-automation-in-real-estate-efficiency-and-roi-for-lease-abstraction-payapps-and-offering-memos/): Discover how AI automation in real estate streamlines lease abstraction, payment applications, and offering memorandum drafting, and more. - [How AI Is Transforming Commercial Real Estate: 8 Real-World Use Cases That Deliver ROI](https://www.kolena.com/blog/ai-in-commercial-real-estate/): Learn how AI in commercial real estate automates lease abstraction, predictive maintenance, underwriting, ESG reporting and more. - [Top 5 AI Use Cases in 2025 for Real Estate Professionals](https://www.kolena.com/blog/ai-in-real-estate-top-5-use-cases-2025/): Discover how AI in commercial real estate is streamlining lease abstraction, contracts, and investment summaries in 2025. - [Automate Loss Run Analysis Using AI: The Complete Guide](https://www.kolena.com/blog/automate-loss-run-analysis-using-ai/): Learn how to automate loss run reporting using AI for faster insights, improved accuracy, cost savings, and smarter decision-making. - [AI-Powered Lease Abstraction in CRE: Tangible ROI](https://www.kolena.com/blog/roi-of-ai-powered-lease-abstraction-in-cre/): ROI of automating lease abstraction with AI. Learn how CRE firms can save time, reduce costs, and gain a competitive advantage by streamlining lease data extraction and analysis. - [Automating Lease Abstraction with AI: A New Era for CRE Document Workflows](https://www.kolena.com/blog/automating-lease-abstraction-with-ai-a-new-era-for-cre-document-workflows/): Kolena's AI agents revolutionize lease abstraction for commercial real estate, delivering faster, more accurate, document heavy workflows. - [Accelerate Claims Processing with AI: Transforming Property Damage Claims](https://www.kolena.com/blog/streamlining-claims-processing-ai/): Discover how AI technology is transforming the claims processing landscape in the insurance industry, enhancing efficiency and accuracy. - [Harnessing AI for Loss Run: Transform Your Insurance Reporting](https://www.kolena.com/blog/ai-loss-run-insurance-reporting/): Discover how AI can simplify loss run reporting, enhance accuracy, and save time for insurance professionals with Kolena's innovative platform. - [Streamlining ESA Reviews with AI](https://www.kolena.com/blog/ai-for-esa-reports/): Discover how AI is transforming the review process for Environmental Site Assessments, making it faster and more efficient. - [Harnessing AI for REIT: Automate Investment Memos](https://www.kolena.com/blog/ai-for-reit-investment-memos/): Discover how AI can streamline the creation of investment memos for REITs, and how AI agents can speed up and improve your investment process - [Harnessing AI for Investment Memos: Streamline Your Real Estate Analysis](https://www.kolena.com/blog/ai-for-investment-memos/): Discover how AI can streamline the creation of investment memos, saving time and enhancing decision-making in real estate. - [The Rise of AI Agents: Empowering Everyone, Not Just the Tech Savvy](https://www.kolena.com/blog/the-rise-of-ai-agents-empowering-everyone-not-just-the-tech-savvy/): AI agents are intelligent systems that autonomously process information, make decisions, and complete tasks—without needing detailed instructions. They learn from data, adapt to change, and are now accessible to non-technical professionals across a wide range of industries. - [Streamlining Property Management with AI: Move-Out Inspections](https://www.kolena.com/blog/automating-property-management-ai/): Discover how AI solutions are revolutionizing property management by streamlining move-out inspections and enhancing efficiency. - [Automating Utility Bill Analysis with AI](https://www.kolena.com/blog/automating-utility-bill-analysis-ai/): Discover how AI-driven utility bill automation can streamline expense management, reduce errors, and uncover savings. - [Streamlining Regulatory Housing Agreements with AI](https://www.kolena.com/blog/transforming-regulatory-housing-agreements-with-ai/): Discover how AI agents can streamline regulatory housing agreements, enhance accuracy, and reduce manual effort in document-intensive workflows. - [Streamline Loan Underwriting with AI: A Step-by-Step Guide](https://www.kolena.com/blog/streamline-loan-underwriting-with-ai/): Discover how AI can enhance your loan underwriting process, automate workflows, and improve efficiency. Read our comprehensive guide now! - [AI-Powered Automation for Commercial Property Sales](https://www.kolena.com/blog/commercial-property-sales-with-ai/): Discover how AI automation enhances document comparison in commercial property sales, streamlining workflows for efficiency and accuracy. - [AI for Real Estate: Transforming Document Management with Intelligent Automation](https://www.kolena.com/blog/ai-for-real-estate/): Discover how AI-driven automation is transforming document management in real estate, enhancing efficiency and accuracy for professionals. - [Faster Rental Application Reviews with AI for Better Decisions](https://www.kolena.com/blog/faster-rental-application-reviews-ai/): Discover how AI is transforming rental application reviews, making them faster and more efficient for property managers. Learn about setting up AI agents and their capabilities. - [Automating Lease Abstraction with AI](https://www.kolena.com/blog/lease-abstraction-with-ai/): Discover how lease abstraction with AI can streamline the analysis of complex lease documents, saving time and reducing errors. - [This AI Handles Your Invoices So You Don’t Have To!](https://www.kolena.com/blog/invoice-management-ai/): Discover how AI can streamline your invoice management process, saving time and enhancing accuracy. Learn about the key features and benefits of using AI for invoices. - [Using AI for Analytical Workflows](https://www.kolena.com/blog/using-ai-for-analytical-workflows/): Explore the shortcomings of using RAG for analytical workflows, and contrast it with Kolena’s Restructured, focusing on how they handle common challenges, and why Restructured may be the better choice for businesses that rely on in-depth data analysis. - [How Head-to-Head Evaluations and Elo Scoring Power AutoArena’s Accurate and Trustworthy AI Model Testing](https://www.kolena.com/blog/how-head-to-head-evaluations-and-elo-scoring-power-autoarenas-accurate-and-trustworthy-ai-model-testing/): As AI evolves, evaluation becomes difficult. Open-source AutoArena automates head-to-head evaluations with LLM judges to rank Gen AI systems. - [Getting Started with AutoArena: Automated Model Testing with Head-to-Head Evaluation](https://www.kolena.com/blog/getting-started-with-autoarena-automated-model-testing-with-head-to-head-evaluation/): Setting up RAG systems is time-consuming. AutoArena simplifies this by automating head-to-head contests with LLM judges - [Revolutionizing Radiology: A Case Study](https://www.kolena.com/blog/revolutionizing-radiology-a-case-study/): An Overview of Rad AI's Leap to Personalized Diagnostics with Kolena's Machine Learning Model Testing Suite - [Unit Testing for Machine Learning: Building Trustworthy AI](https://www.kolena.com/blog/unit-testing-for-machine-learning/): Unit testing at scenario levels for machine learning models involves testing the performance of an ML model in different real-world situations, as opposed to simply evaluating the model's performance on a fixed dataset. - [How to Perform Hallucination Detection for LLMs](https://www.kolena.com/blog/how-to-perform-hallucination-detection-for-llms/): Learn five different methods to detect LLM hallucinations with 90% accuracy for closed-domain question answering. - [Predicting AI Developments in 2024: Insights from Kolena’s Experts](https://www.kolena.com/blog/predicting-ai-developments-in-2024-insights-from-kolenas-experts/): Explore Kolena's expert predictions for AI in 2024, covering advancements in multimodal models, edge computing, AI security, and more. - [The Crucial Role of Penetration Testing: Kolena's A-grade Success with RedSentry](https://www.kolena.com/blog/the-crucial-role-of-penetration-testing-kolenas-a-grade-success-with-redsentry/): Kolena achieves an A-grade in RedSentry's penetration test, reinforcing its commitment to top-tier cybersecurity and customer data protection. - [The Five Pillars of Trustworthy LLM Testing](https://www.kolena.com/blog/the-five-pillars-of-trustworthy-llm-testing/): From the perspective of a machine learning engineer at Kolena, this article is a continuation in a series of discussions highlighting a testing paradigm for LLMs, identifying the failure modes of LLMs at a high level. - [NEW FEATURE ALERT-Add Metadata to Your Data!](https://www.kolena.com/blog/new-feature-alert-add-metadata-to-your-data/): Kolena’s new feature lets ML teams add metadata to datasets for better filtering, edge case detection, and automation. - [Letter From the CEO: The Path to Trustworthy AI](https://www.kolena.com/blog/letter-from-the-ceo-the-path-to-trustworthy-ai/): Kolena CEO Mohamed Elgendy outlines the urgent need for rigorous AI testing and quality assurance to build trust in the AI ecosystem. - [Kolena's Machine Learning Model Testing and Debugging Platform; Our Origins and an Update](https://www.kolena.com/blog/now-supporting-tabular-and-audio-data/): Kolena expands its machine learning testing platform to support tabular and audio data - [Kolena Heads to Santa Clara for AI & Big Data Expo](https://www.kolena.com/blog/kolena-ai-big-data-expo/): Kolena sponsors the AI & Big Data Expo in Santa Clara, showcasing AI agent solutions among 250+ exhibitors and 6,000+ attendees. - [Kolena Partners with AI Accelerator Institute for the 2023 AI Accelerator and Computer Vision Summits](https://www.kolena.com/blog/kolena-partners-with-ai-accelerator-institute/): Kolena partners with AI Accelerator Institute for the 2023 AI Accelerator and Computer Vision Summits in San Jose - [Test-Centric ML Model Development](https://www.kolena.com/blog/test-centric-ml-model-development/): Kolena's Head of Product gives a talk on why systematic unit testing is important and how to effectively test ML system behavior. - [Infrastructure for Rigorous ML Model Testing](https://www.kolena.com/blog/infrastructure-for-rigorous-ml-model-testing/): Build robust ML model testing infrastructure. Learn best practices to ensure reliable and systematic machine learning workflows. - [Kolena Achieves SOC 2 Certification](https://www.kolena.com/blog/kolena-achieves-soc-2-certification/): Kolena achieves SOC 2 Type 1 certification, reinforcing its commitment to secure, reliable AI agent solutions. - [Creating a Machine Learning Culture of Quality](https://www.kolena.com/blog/creating-a-machine-learning-culture-of-quality/): Discover how to foster a machine learning culture of quality ensuring reliable AI outcomes in real-world applications. - [Best Practices for ML Model Testing](https://www.kolena.com/blog/best-practices-for-ml-model-testing/): Why systematic unit testing is important and how to effectively test ML system behavior. --- # # Detailed Content ## Pages > Understand your rights and obligations with Kolena's Data Terms & Conditions. Learn about our legal guidelines for Kolena data use. - Published: 2025-06-17 - Modified: 2025-06-17 - URL: https://www.kolena.com/data-tac/ Kolena AI Agents Kolena Inc February 2025 INTRODUCTION Welcome to Kolena! These terms and conditions ("Terms") govern your use of the Kolena service, including any applications, websites, software, or services (collectively, the "Service"). By accessing or using the Service, you agree to be bound by these Terms. DATA COLLECTION AND USAGE Kolena collects and processes the data you upload solely to deliver the Service. Customer data is used only to operate the Service and generate the extractions you request. Customer data is not used to train models, is not retained by third parties, and is encrypted in transit and at rest. DATA STORAGE All data stored by Kolena is stored securely on servers located within the United States. Storing data in a HIPAA compliant environment is an available option. RETENTION POLICY Kolena retains your data for as long as necessary to provide the Service to you. You may delete data at any time or configure the Service for zero data retention. If you terminate your account with Kolena, we will delete your data within 30 days of receiving your request. DATA DELETION When you delete your account, all data associated with your account will be permanently deleted from our servers. If you would like us to delete your data sooner, please contact us at info@kolena. com CONCLUSION We take the security and privacy of your data seriously. By using the Service, you agree to these Terms and our data collection and usage practices. If you have any questions or concerns... --- > Understand your rights and obligations with Kolena's Terms & Conditions. Learn about our legal guidelines for Kolena service use. - Published: 2025-05-09 - Modified: 2025-05-12 - URL: https://www.kolena.com/tac/ Who we are Suggested text: Our website address is: https://www. kolena. com. Comments Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic. com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment. Media Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website. Cookies Suggested text: If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year. If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser. When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for... --- > Kolena delivers AI for business. Easily create AI agents that automate workflows, eliminate repetitive tasks, and prevent human error. - Published: 2025-03-17 - Modified: 2025-06-27 - URL: https://www.kolena.com/   --- > Discover how Kolena ensures enterprise-grade security—data encryption, SOC 2 compliance, access control, and auditing. - Published: 2024-05-15 - Modified: 2025-06-11 - URL: https://www.kolena.com/security/ Who we are Suggested text: Our website address is: https://www. kolena. com. Comments Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic. com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment. Media Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website. Cookies Suggested text: If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year. If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser. When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for... --- > Review Kolena’s Terms & Conditions to understand your rights, obligations, and the rules governing use of our AI platform and services. - Published: 2024-05-15 - Modified: 2025-06-11 - URL: https://www.kolena.com/terms-conditions/ Who we are Suggested text: Our website address is: https://www. kolena. com. Comments Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic. com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment. 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Login cookies last for... --- > Read Kolena’s Privacy Policy to learn how we collect, use, and protect your data. - Published: 2023-01-04 - Modified: 2025-06-11 - URL: https://www.kolena.com/privacy-policy/ Who we are Suggested text: Our website address is: https://www. kolena. com. Comments Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic. com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment. Media Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. 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Login cookies last for... --- --- ## Posts > Explore how lease review AI prompts accelerate lease abstraction, reduce manual work, and scale real estate operations. - Published: 2025-07-08 - Modified: 2025-07-08 - URL: https://www.kolena.com/blog/lease-review-ai-prompt-streamline-lease-abstraction/ - Categories: AI for Real Estate, AI Lease Abstraction Lease review is one of the most time-consuming processes in real estate operations. Whether you're managing 50 assets or 5,000, reviewing leases for key data points like rent schedules, options to renew, escalation clauses, or tenant obligations takes up valuable time, especially when it's done manually. Today, AI-powered tools are helping teams move faster and more accurately through lease documents using something called a lease review AI prompt. This blog explains what it is, how it works, and why it's becoming essential in modern real estate portfolio management. In this article: What Is a Lease Review AI Prompt? Why Use AI Prompts for Lease Review? Case Example: Using AI Prompts at Portfolio ScaleHow to Write an Effective Lease Review AI PromptBest Practices for Using Lease Review AI PromptsPlatforms Supporting Prompt-Based Lease ReviewFaster Lease Review Without the Bottlenecks What Is a Lease Review AI Prompt? A lease review AI prompt is a structured instruction designed to guide an AI model such as GPT-4 or Claude to analyze a lease document and return specific, actionable information. These prompts can ask the AI to: Extract structured data like lease dates, base rent, and renewal terms Summarize entire leases or sections such as escalation clauses Flag missing or unusual language that may require follow-up Generate an abstract formatted for operational use or investor reporting Rather than building a custom tool or hiring additional staff, teams can use tailored prompts with AI to review documents in minutes instead of hours. Why Use AI Prompts for... --- > Learn GCPay's role in construction payment processing, and see how AI solutions can take construction payment automation to the next level. - Published: 2025-06-30 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/gcpay-streamlining-construction-payments-with-automation-and-ai/ - Categories: AI for Real Estate - Tags: construction, payapp In the construction industry, getting paid shouldn’t be the hardest part of the job – yet payment delays are rampant. A recent report found 82% of contractors face waits over 30 days for payment, up from 49% just two years ago. With average payment cycles stretching nearly 57 days, slow payments are not just a headache – they’re draining an estimated $280 billion annually from the industry. These delays wreak havoc on cash flow, forcing contractors to dip into personal funds and even causing subcontractors to raise their bid prices to offset the risk of late payments. The good news? Technology is stepping up to solve this problem. GCPay – a cloud-based construction payment application software (recently acquired by Autodesk) – is leading the charge in automating and accelerating the payment process between general contractors (GCs) and subcontractors. In this comprehensive guide, we’ll explore what GCPay is, how it works, and the business benefits it delivers for finance teams and contractors. We’ll also look at how AI-driven solutions can further enhance GCPay’s workflow for even greater efficiency. This article is part of a comprehensive series on construction payment applications. In this article: What is GCPay? Key Features of GCPay’s Payment AutomationBenefits of Using GCPay for Contractors & Finance TeamsThe Role of AI in Construction Payment ProcessingConclusion: Embracing the Future of Construction Payment What is GCPay? GCPay (known as Payapps in some international markets) is a cloud-based software platform designed to streamline construction billing and payments. In essence, GCPay fully automates... --- > AI real estate description tools automate payapp reports, lease abstractions, offering memoranda, and more to drive efficiency and growth. - Published: 2025-06-27 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/ai-real-estate-description-transforming-property-marketing/ - Categories: AI for Real Estate Artificial intelligence (AI) is revolutionizing the way real estate professionals craft compelling property narratives. An AI real estate description tool leverages natural language processing to analyze raw property data, such as square footage, amenities, neighborhood highlights, and market trends, and instantly generate polished, SEO-friendly listing text. This capability liberates agents from manual write-ups, ensuring every listing maintains consistent quality while maximizing search visibility. In this article: From Data to Description: How It WorksBusiness Advantages of AI-Driven DescriptionsSteps to Integrate AI in Your Marketing WorkflowIndustry Trends in AIExpanding Automation Beyond ListingsFinal Thoughts From Data to Description: How It Works When you feed an AI platform structured inputs, property features, images, comparable sales data, it applies machine learning algorithms to assemble a narrative that highlights unique selling points. For example, an AI-generated description might emphasize the open-plan kitchen’s marble countertops, the home’s walkability score, and nearby school ratings in a single, engaging paragraph. By standardizing tone and style across dozens of listings, agencies project a more professional brand image and reduce hours of manual editing each week. Business Advantages of AI-Driven Descriptions Adopting an AI real estate description tool delivers measurable benefits. First, agents reclaim valuable time: generating dozens of high-quality listings per day frees them to focus on client engagement and deal closing. Second, SEO performance improves as AI seamlessly embeds targeted keywords, such as “automated property listings” and “AI listing description generator”, into narrative copy. Third, data-driven insights ensure descriptions highlight emerging market trends, whether it’s a surge in suburban... --- > Discover how contractor payment software can reduce DSO by 40%, save $16 per invoice, and transform cash flow. - Published: 2025-06-25 - Modified: 2025-06-25 - URL: https://www.kolena.com/blog/contractor-payment-software/ - Categories: AI for Real Estate Getting paid shouldn't be the hardest part of construction work. Yet 82% of contractors now wait over 30 days for payment—up from just 49% two years ago. With the average payment cycle stretching to 57 days and the construction industry losing $280 billion annually to payment delays, contractor payment software has evolved from a nice-to-have to a business-critical investment that can transform cash flow and profitability. Why contractor payment software matters more than ever The construction industry operates on notoriously thin margins, making cash flow the lifeblood of every project. When 84% of construction companies experience cash flow problems and only 8% of contractors always get paid on time, the need for automated payment solutions becomes clear. Modern contractor payment software addresses these challenges by streamlining invoice processing, automating lien waiver management, and providing real-time payment visibility across complex project hierarchies. The financial impact extends beyond simple delays. Manual invoice processing costs businesses $16-22 per invoice, while automated systems reduce this to just $5-6. For construction companies processing hundreds of invoices monthly, this represents substantial savings. More importantly, payment automation can reduce Days Sales Outstanding (DSO) by up to 40%, dramatically improving working capital. Market leaders transforming contractor payments The contractor payment software market, valued at $9. 87 billion in 2024 and growing at 10. 1% CAGR, offers diverse solutions for different business needs: Procore Pay leads for large general contractors, integrating seamlessly with Procore's construction management platform. Its automated lien waiver exchange and real-time payment tracking eliminate the need... --- > AI leasing solutions like payapp automation, lease abstraction, and offering memorandum drafting transform your lease management processes - Published: 2025-06-25 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/ai-leasing-solutions-revolutionizing-lease-management/ - Categories: AI for Real Estate The global AI in real estate market is set to grow from $222. 65 billion in 2024 to $303. 06 billion in 2025 at a CAGR of 36. 1%, driven by analytics, chatbots, and automation in property management. As commercial leasing processes remain largely manual and time-consuming, forward-thinking firms are turning to AI leasing solutions to stay competitive and efficient. In this article: Automating PayApp Reports with AIAccelerating Lease Abstraction through Natural Language ProcessingGenerative Offering Memorandum DraftingUnlocking Predictive Tenant AnalyticsEnhancing Tenant Engagement with AI ChatbotsBusiness Advantages of AI Leasing SolutionsBest Practices for ImplementationEmerging Trends Shaping the Future Automating PayApp Reports with AI One of the most immediate wins for leasing teams is automating PayApp report reviews. By ingesting G702/G703 forms and supporting documents, AI agents can verify quantities, detect discrepancies, and flag exceptions in under ten minutes, transforming what used to be a five-hour manual review into a streamlined, transparent workflow. This level of automation not only cuts labor costs by up to 80% but also minimizes costly human errors . Accelerating Lease Abstraction through Natural Language Processing Lease abstraction is another area where AI shines. Leveraging advanced natural language processing and machine learning techniques, AI tools can extract critical lease terms, such as rent schedules, renewal options, and escalation clauses, in minutes, rather than the weeks it traditionally takes. This rapid turnaround not only boosts the accuracy of extracted data (achieving up to 99% extraction accuracy) but also ensures compliance with accounting standards like ASC 842 and IFRS 16... --- > Manual AIA pay applications are slow and error-prone. AI transforms the G702/G703 process, reduces delays, and improves cash flow. - Published: 2025-06-25 - Modified: 2025-06-25 - URL: https://www.kolena.com/blog/beyond-the-bottom-line-how-ai-is-revolutionizing-the-aia-pay-application/ - Categories: AI for Real Estate In the world of construction, the AIA pay application is a necessary beast. Standardized by the American Institute of Architects, the G702 and G703 forms are the bedrock of construction payment processing, designed to bring order and transparency to a complex system. Yet, for anyone who has manually processed a pay app, "orderly" and "transparent" are often the last words that come to mind. The reality is a time-consuming, error-prone ordeal that can strain relationships and cripple cash flow. The traditional process is a bottleneck. It involves meticulous data entry, cross-referencing between the G702 Application and Certificate for Payment and the G703 Continuation Sheet, verifying change orders, and ensuring compliance with retainage requirements. A single misplaced decimal, an incorrect calculation, or a missing signature can trigger a cascade of delays, pushing payment cycles out by weeks or even months. But what if you could automate this entire verification process, transforming it from a liability into a competitive advantage? The answer lies in Artificial Intelligence. In this article: The High Cost of an Antiquated ProcessEnter AI: Your New Project AccountantThe Business Advantages of an AI-Powered Pay App ProcessGetting Started with AI for Your Pay Applications The High Cost of an Antiquated Process The pain points of the manual AIA billing process are felt across the industry, from subcontractors to general contractors and developers. These are not just minor administrative headaches; they have significant financial consequences. Manual Errors and Inaccuracies: The complexity of the G702 and G703 forms makes them ripe for... --- > Discover how leasing chatbots are transforming real estate by automating tenant communication, tour scheduling, and lead qualification. - Published: 2025-06-25 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/leasing-chatbots-transforming-property-management/ - Categories: AI for Real Estate As property managers and leasing agents navigate increasing tenant expectations, 24/7 communication demands, and growing operational complexity, one solution is emerging as a game-changer: leasing chatbots. These AI-powered assistants are revolutionizing the leasing process by automating tenant interactions, streamlining operations, and unlocking significant time and cost savings. In this blog post, we’ll explore what leasing chatbots are, how they work, and how leading real estate firms are using them to improve performance. We'll also introduce other AI-powered leasing automation use cases like pay application reporting, lease abstraction, and offering memorandum (OM) drafting, which together form a new era of intelligent property operations. This article is part of a comprehensive series on AI Leasing Solutions. In this article: What Is a Leasing Chatbot? Why Leasing Chatbots Matter1. 24/7 Lead Capture and Qualification2. Automated Tour Scheduling3. Lead Scoring and CRM Integration4. Multilingual and ADA-Compliant SupportBusiness Benefits of Using a Leasing ChatbotReal-World AI Leasing Automation Use Cases1. Automated Pay Application Reports (PayApps)2. AI-Powered Lease Abstraction3. Offering Memorandum (OM) DraftingHow to Choose the Right Leasing ChatbotThe Future of Leasing Is AI-Driven What Is a Leasing Chatbot? A leasing chatbot is an AI-driven conversational agent designed to interact with prospective or current tenants across digital platforms such as websites, SMS, and messaging apps. These bots can answer inquiries, schedule tours, provide property details, pre-qualify leads, and even guide users through the application process. Unlike traditional live chat tools, leasing chatbots are available 24/7, offer instant responses, and can handle hundreds of conversations simultaneously without human... --- > Discover how AI-powered leasing software is transforming property management and real estate operations in 2025. - Published: 2025-06-24 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/why-leasing-software-is-essential-in-modern-real-estate/ - Categories: AI for Real Estate In today’s fast-paced commercial and residential real estate landscape, efficiency is no longer optional, it’s a competitive advantage. Leasing software has emerged as a vital solution for landlords, property managers, and brokers seeking to streamline lease management, reduce operational overhead, and elevate tenant experiences. With artificial intelligence (AI) driving innovation in the sector, today’s best leasing software platforms go far beyond simple document management, they automate workflows, enable predictive analytics, and offer real-time insights to power smarter leasing decisions. In this article: What Is Leasing Software? The Rise of AI-Driven Leasing PlatformsKey AI Applications in Leasing SoftwareAI Lease AbstractionPredictive AnalyticsChatbots and Virtual AssistantsRisk Assessment & Compliance MonitoringBusiness Benefits of AI-Powered Leasing Software1. Faster Turnaround and Lower Costs2. Increased Accuracy and Compliance3. Improved Tenant Experiences4. Data-Driven Decision MakingChoosing the Right Leasing Software in 2025Future Trends in Leasing SoftwareWhy It’s Time to Upgrade What Is Leasing Software? Leasing software is a digital platform designed to facilitate the end-to-end leasing process, from marketing and lead tracking to contract generation, compliance checks, and renewal management. Traditionally used to replace manual processes and paper-based lease tracking, modern solutions integrate with other tools like CRMs, accounting platforms, and AI-driven analytics engines to enable full visibility and automation. Common features include: Digital lease document creation and signing Automated tenant screening Renewal notifications and task management Compliance and risk management tracking Payment integration and reporting The Rise of AI-Driven Leasing Platforms AI is redefining the leasing software landscape. 63% of real estate firms have already begun adopting AI... --- > Discover Agentic Property AI. See how autonomous agents automate real estate for radical efficiency, from property management to investment. - Published: 2025-06-24 - Modified: 2025-06-24 - URL: https://www.kolena.com/blog/agentic-property-ai-the-next-frontier-in-autonomous-real-estate/ - Categories: AI for Real Estate For years, the conversation around property AI has focused on prediction: forecasting market trends, estimating valuations, and anticipating maintenance needs. While powerful, this was just the first step. The true revolution is now arriving with agentic AI—intelligent systems that don't just analyze and predict, but also reason, plan, and act autonomously to manage real estate assets. This shift from passive prediction to proactive execution marks the single greatest leap in PropTech innovation. Agentic AI solutions are moving beyond task-specific tools to become digital team members, capable of managing complex workflows independently. For real estate professionals, this means transitioning from simply using software to delegating entire operational functions to a trusted AI agent, unlocking unprecedented levels of scale and efficiency. In this article: What is Property AI in the Age of Agents? 5 Ways Agentic AI is Automating Property Operations1. The Autonomous AI Property Manager2. The AI Investment Agent3. The AI Leasing Agent4. The Proactive AI Maintenance Coordinator5. The AI Compliance and Reporting AgentThe Agentic Advantage: True Scalability for Real EstateThe Kolena Edge: Why Testing is Critical for Autonomous AIThe Future is Autonomous What is Property AI in the Age of Agents? Property AI is the application of artificial intelligence to the real estate lifecycle. While this has historically been dominated by analytics, the field is evolving to include more sophisticated systems. The true power of property AI today is unlocked when these technologies are combined to create autonomous agents. Machine Learning (ML): The foundation that allows AI to learn from... --- > Discover how real estate technology companies are using AI for valuation, marketing, risk assessment, property management, and more. - Published: 2025-06-24 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/real-estate-technology-companies-advancing-the-industry-with-ai/ - Categories: AI for Real Estate Real estate is no longer defined solely by location and timing, it’s increasingly shaped by the data-driven technology behind every transaction. Real estate technology companies, also known as PropTech firms, are using AI to streamline operations, uncover insights, and drive smarter decisions across the entire real estate lifecycle. From underwriting and property management to marketing and mortgage approvals, AI is reshaping the way deals are done and properties are managed. In this article: What Are Real Estate Technology Companies? AI Is Becoming Core Infrastructure for Real EstateReal-World Impact: Kolena and the Automation of High-Value WorkflowsThe Competitive Advantage of Real Estate Companies and AI AdoptionReal Estate Tech Is Now a Necessity What Are Real Estate Technology Companies? Real estate technology companies are organizations that leverage software, automation, and artificial intelligence to optimize and modernize core real estate functions. These range from large enterprise platforms like CBRE and JLL to innovative startups like Kolena, VTS, and Reonomy. By replacing outdated manual workflows with intelligent, data-powered systems, these companies are helping investors, operators, brokers, and lenders make faster, more informed decisions. AI Is Becoming Core Infrastructure for Real Estate Historically slow to adopt new technologies, the real estate sector is now moving rapidly toward AI-enabled systems. A 2024 McKinsey report notes that AI is poised to transform the entire real estate value chain, from planning and development to transactions and asset management. AI is no longer a future concept, it’s becoming foundational infrastructure. Let’s explore how real estate technology companies are deploying AI... --- > Learn how the AIA G702 app works, why it's essential for construction billing, and how AI speeds up the review and approval process. - Published: 2025-06-18 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/aia-g702-automate-your-pay-applications-with-ai/ - Categories: AI for Real Estate Every construction project involves paperwork, but the AIA G702 form is one document you cannot afford to get wrong. This standardized application for payment is used across the industry, often alongside the G703 continuation sheet, to request contractor reimbursements. But here’s the problem: processing these pay apps manually is slow, error-prone, and costly. In this post, we’ll break down what the AIA G702 is, how to fill it out, why it causes delays, and how Kolena uses AI automation to simplify the entire process. https://www. youtube. com/watch? v=o13FnRC8EGA&t=4s In this article: What Is the AIA G702 Form? Why the G702 Matters in Construction BillingHow to Fill Out the AIA G702 (Key Fields)AIA G702 vs G703: What’s the Difference? Manual G702 Processing: Hidden CostsKolena Automates AIA G702 Reviews with AISuggested VisualsGet Paid Faster with KolenaResources What Is the AIA G702 Form? The AIA G702 is the "Application and Certificate for Payment" used by contractors to request payment for work completed on a project. It is typically submitted alongside the AIA G703 continuation sheet, which provides a line-item breakdown of costs. The G702 summarizes: Contract value Previous payments Current amount requested Retainage held Remaining contract balance The form includes a certification that the work is complete and payment is due, signed by both the contractor and architect or project manager. Reference: AIA Contract Documents – G702 Details Why the G702 Matters in Construction Billing The G702 isn’t just a form; it’s the central checkpoint in the progress billing workflow. If it's inaccurate,... --- > Discover modern lease abstraction services—AI, software, outsourcing—to cut costs, boost compliance, and scale real-estate portfolios. - Published: 2025-06-17 - Modified: 2025-06-18 - URL: https://www.kolena.com/blog/lease-abstraction-services/ - Categories: AI for Real Estate, AI Lease Abstraction Lease abstraction services have become mission-critical as real-estate portfolios swell and compliance standards tighten. Lease abstraction turns dense, multi-page contracts into concise, searchable records. Property managers spot renewal dates without leafing through binders; investors can size up cash-flow risk in minutes; and corporate real-estate teams stay on top of options, escalations, and compliance triggers. Yet traditional abstraction—done by hand or outsourced overseas—struggles to keep pace with today’s sprawling portfolios and fast-moving deals. Over the past three years a new generation of software- and AI-powered lease abstraction services have changed the game, offering speed, accuracy, and transparency that manual processes rarely match. Below is a practical guide to the four main lease abstraction service models, the business benefits of technology-driven abstraction, and a look at how AI platforms are redefining what’s possible. In this article: Manual In-House AbstractionOutsourced Abstraction ServicesSoftware-Driven Lease Abstraction ToolsAI-Powered Lease Abstraction ServicesWhy Modern (Especially AI-Driven) Abstraction Pays OffA Glimpse at Tomorrow’s Lease AbstractionSpotlight: Kolena’s Lease Abstraction ServicesConclusion: Turning Lease Data into Competitive Advantage Manual In-House Abstraction In the classic approach, analysts or paralegals read each lease line-by-line, copy key terms into a spreadsheet, and double-check for typos. Because the reviewers often know the company’s specific deal structures, they can catch subtle nuances—say, the way a certain landlord defines “operating expenses. ” But the trade-offs are steep. A 60-page office lease can take several hours to summarize; multiply that by a 400-property portfolio and you have weeks of work that delays reporting and ties up expensive talent. Human... --- > AI can revolutionize the way real estate agents work, from automating lead generation to enhancing customer service. - Published: 2025-06-17 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/how-can-real-estate-agents-use-ai/ - Categories: AI for Real Estate Kolena's AI Agent Platform Process In the rapidly evolving real estate industry, staying ahead of the competition is critical for success. As technology continues to advance, artificial intelligence (AI) is becoming an essential tool for real estate agents seeking to streamline their operations, enhance customer experience, and make smarter decisions. AI can optimize everything from lead generation and property recommendations to marketing and contract analysis. In this blog post, we'll explore how real estate agents can leverage AI to increase efficiency, improve customer engagement, and grow their business. In this article: What is AI and Why Does It Matter for Real Estate Agents? How Real Estate Agents Can Use AI1. Automating Lead Generation and Nurturing2. Enhancing Property Search and Recommendation3. Streamlining Marketing Campaigns4. Enhancing Customer Service with AI5. Simplifying Document Management and Contract Analysis6. Improving Market Analysis and Property Valuations7. AI for Time Management and Task AutomationThe Future of Real Estate with AI What is AI and Why Does It Matter for Real Estate Agents? AI refers to the simulation of human intelligence in machines programmed to think, learn, and problem-solve like humans. For real estate agents, AI means having access to advanced tools that can analyze massive amounts of data, automate routine tasks, and provide insights that would be time-consuming or impossible for humans to uncover manually. The integration of AI into real estate offers substantial benefits, such as improved productivity, enhanced client relationships, and more accurate market insights. Real estate agents who adopt AI-driven solutions can gain a competitive edge, offering faster and... --- > AI in real estate development is optimizing site selection, predicting market trends, streamlining design, and more. - Published: 2025-06-17 - Modified: 2025-06-18 - URL: https://www.kolena.com/blog/ai-in-real-estate-development-transforming-the-industry/ - Categories: AI for Real Estate In recent years, the real estate development industry has seen significant shifts thanks to technological advancements, particularly in Artificial Intelligence (AI). From project management and design to market analysis and property management, AI is helping developers streamline operations, increase profitability, and improve the overall quality of their developments. In this blog post, we’ll explore how AI is reshaping the future of real estate development and why it’s a game-changer for developers, investors, and stakeholders alike. In this article: What is AI in Real Estate Development? Key Benefits of AI in Real Estate DevelopmentHow AI is Improving Property ManagementAI-Powered Property DevelopmentThe Future of AI in Real Estate DevelopmentChallenges and ConsiderationsConclusion What is AI in Real Estate Development? AI in real estate development refers to the integration of machine learning, natural language processing, and automation technologies to improve decision-making, optimize processes, and enhance productivity across the development lifecycle. It’s about using data-driven insights and predictive models to make smarter decisions and reduce manual effort. As the real estate industry becomes more complex, AI offers solutions to address common challenges developers face, such as optimizing costs, reducing time delays, predicting market trends, and managing risks. Key Benefits of AI in Real Estate Development 1. Optimizing Site Selection AI can analyze vast amounts of data from geographic information systems (GIS), historical data, and current market trends to help developers identify the best locations for new projects. By processing this data, AI tools can predict which areas are likely to experience increased demand and appreciate... --- > Learn how real estate investors use AI for underwriting, lease analysis, and portfolio optimization to boost returns. - Published: 2025-06-16 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/ai-for-real-estate-investors-smarter-decisions-greater-returns/ - Categories: AI for Real Estate In a market where timing, data, and speed can make or break a deal, artificial intelligence (AI) is quickly becoming the competitive edge for modern real estate investors. From identifying high-yield opportunities to automating lease abstraction and underwriting, AI is transforming how portfolios are built and managed. In this post, we’ll explore how AI for real estate investors is reshaping the industry and how you can leverage these tools to reduce risk, increase ROI, and scale with confidence. In this article: What Is AI for Real Estate Investors? Why Now? Market Pressures Accelerating AI AdoptionKey Use Cases of AI in Real Estate Investing1. Lease Abstraction and Document Analysis2. Investment Memo Generation3. Underwriting Automation4. Utility Bill and Expense Analysis5. Property Valuation and Predictive AnalyticsHow to Get Started with AI in Real EstateChallenges and ConsiderationsReal Estate AI Tools to WatchConclusion What Is AI for Real Estate Investors? AI in real estate refers to the use of machine learning algorithms, natural language processing (NLP), and predictive analytics to extract insights from vast datasets lease documents, rent rolls, market comps, utility bills, and more. For investors, this means making faster, more informed decisions backed by real-time data. These tools aren’t limited to big institutions. Solo investors, syndicates, and property managers are increasingly turning to AI to: Spot undervalued assets Forecast property performance Automate due diligence Optimize cash flow and expenses Why Now? Market Pressures Accelerating AI Adoption With interest rates fluctuating and operating expenses rising, AI gives investors the ability to act decisively based... --- > Discover the top AI tools for real estate investors. Learn how smart tech can maximize returns, automate workflows, and boost decisions. - Published: 2025-06-16 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/best-ai-tools-for-real-estate-investors-to-boost-roi-and-efficiency/ - Categories: AI for Real Estate As the real estate landscape becomes increasingly competitive, investors are turning to artificial intelligence (AI) tools to gain a data-driven edge. From underwriting and lease abstraction to predictive analytics and portfolio optimization, AI is redefining how investors operate. In this guide, we’ll explore the best AI tools for real estate investors, explain how they improve returns, and offer insights on choosing the right solutions. This post is part of a comprehensive series on AI in Real Estate Investing. In this article: Why AI Is Critical for Real Estate Investors in 2025Top AI Tools for Real Estate Investors1. Kolena – AI Agents for Business Workflows2. Reonomy (by Altus Group) – Property Intelligence and Ownership Data3. Cherre – Data Integration for Real Estate4. Zillow AI + Zestimate APIWhat to Look for When Evaluating AI ToolsFuture OutlookFinal Thoughts Why AI Is Critical for Real Estate Investors in 2025 In a world where every basis point matters, AI helps investors: Uncover hidden patterns in rent rolls, leases, and financials Automate time-consuming tasks like underwriting and due diligence Reduce risk through better forecasting and data quality checks Make faster, more confident investment decisions According to a 2023 emerging trends in real estate report by PwC, AI adoption in real estate is accelerating, particularly in data-intensive tasks like valuation and investment modeling. Top AI Tools for Real Estate Investors 1. Kolena – AI Agents for Business Workflows Best for: Lease abstraction, investment memos, and underwriting automation Kolena is a powerful AI platform that helps investors extract... --- > Real estate underwriting software powered by AI helps investors, lenders, and brokers analyze deals faster, smarter, and with less risk. - Published: 2025-06-16 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/real-estate-underwriting-software-and-ai/ - Categories: AI for Real Estate As real estate deals grow in complexity and speed, traditional underwriting methods are no longer enough. Manual spreadsheets, disparate data sources, and siloed workflows create bottlenecks that slow down decision-making and increase risk. Enter real estate underwriting software: a new wave of intelligent tools designed to streamline and automate the underwriting process using AI. From institutional investors to boutique asset managers, firms are turning to AI-powered platforms to analyze deals faster, reduce manual errors, and gain deeper insights. In this post, we explore how real estate underwriting software is evolving—and why adopting AI-driven tools can give your team a competitive edge. In this article: What Is Real Estate Underwriting Software? Key Benefits of AI-Powered Underwriting ToolsFaster Deal EvaluationImproved Accuracy and ConsistencyRisk Detection and Scenario AnalysisScalabilityData-Driven InsightsUse Cases Across the Real Estate EcosystemWhat to Look for in Underwriting SoftwareReal-World ImpactConclusion What Is Real Estate Underwriting Software? Real estate underwriting software automates the analysis of a property’s financials, risks, and returns. These platforms help users assess investment viability by parsing documents (like rent rolls and operating statements), building pro forma models, and generating risk scores or summaries. The best solutions now integrate AI to perform document extraction, market comparisons, and financial modeling in minutes rather than days. This not only speeds up workflows but also enables smarter, data-driven decisions across residential, commercial, and mixed-use assets. Key Benefits of AI-Powered Underwriting Tools Faster Deal Evaluation AI-powered tools can extract financial data from PDFs, spreadsheets, and emails in seconds. This allows underwriting teams to... --- > Commercial real estate underwriting software is transforming the way real estate investors, brokers, and lenders assess properties, and more. - Published: 2025-06-16 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/how-commercial-real-estate-underwriting-software-is-advancing/ - Categories: AI for Real Estate In today's fast-paced real estate market, traditional underwriting methods no longer provide the speed, accuracy, and scalability required to stay competitive. Commercial real estate (CRE) investors and lenders are increasingly turning to advanced technologies like AI-driven commercial real estate underwriting software to streamline decision-making and mitigate risks. In this blog post, we will explore how this cutting-edge software is revolutionizing the commercial real estate sector, its key benefits, and how you can leverage it for smarter investments and more efficient processes. In this article: What is Commercial Real Estate Underwriting Software? How AI is Transforming CRE UnderwritingKey Benefits of Using AI-Driven CRE Underwriting SoftwareHow to Choose the Right Commercial Real Estate Underwriting SoftwareFuture Trends in Commercial Real Estate UnderwritingConclusion What is Commercial Real Estate Underwriting Software? At its core, commercial real estate underwriting software is designed to automate and enhance the property evaluation process. By using AI and machine learning, this software analyzes various data points such as market trends, property values, tenant information, and financial performance to provide real-time, accurate insights that guide investment decisions. AI-powered underwriting tools can analyze large amounts of unstructured data in a fraction of the time it would take a human analyst. This capability helps identify risk factors, predict property values, and optimize loan structures more effectively than traditional methods. How AI is Transforming CRE Underwriting AI has become a game-changer in the commercial real estate underwriting process. Here are some of the ways AI and automation are transforming the industry: 1. Faster Decision-Making... --- > AI-powered automation transforms manual AIA G703 form reviews into fast, accurate processes, saving time and reducing errors. - Published: 2025-06-16 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/automate-aia-g703-reviews-with-ai/ - Categories: AI for Real Estate Introduction If you work in construction, you know the drill. Filling out and reviewing AIA G703 forms is time-consuming, error-prone, and, frankly, a huge headache. These continuation sheets are critical to the progress billing process, but manually handling them adds friction to every pay cycle. In this post, we will walk you through what the AIA G703 form is, how to fill it out, common pain points, and how Kolena’s AI-powered automation helps construction teams review and approve pay applications faster, more accurately, and with less hassle. In this article: IntroductionWhat Is the AIA G703 Form? Why Contractors Struggle with AIA G703 FormsHow to Fill Out an AIA G703 Form (Step-by-Step)FAQs About the AIA G703The Problem: Manual Review of AIA G703s Is Painfully InefficientKolena’s Solution: AI-Powered G703 Review in Minutes, Not HoursReal Results: Accuracy, Speed, and ROIUse Case Example: Monthly Pay App Review WorkflowFinal Thoughts: Speed and Accuracy MatterResources https://www. youtube. com/watch? v=o13FnRC8EGA&t=2s What Is the AIA G703 Form? The AIA G703 is the standard "Continuation Sheet" used in the construction industry as part of the pay application process. It accompanies the AIA G702 Application and Certificate for Payment, serving as a detailed breakdown of work completed to date, categorized by line items in a schedule of values. Each row in the G703 corresponds to a specific portion of the work (e. g. , framing, HVAC, electrical) with associated costs, percentage complete, work completed in the current period, retainage held, and more. Learn more about the G702/G703 process from AIA... --- > Learn how AI transforms construction payment applications by automating G702 and G703 form reviews, reducing errors, speeding up approvals - Published: 2025-06-14 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/revolutionize-construction-payment-processing-with-ai/ - Categories: AI for Real Estate - Tags: AI, Real Estate, construction, payapp, payment application In today's fast-paced construction environment, the efficiency of payment application processing is of utmost importance. Delays in payments can stem from a myriad of issues, including missed signatures, calculation errors, or discrepancies between documents. To address these challenges, we are demonstrating how Kolena's AI capabilities can revolutionize the payment application process, significantly reducing the time and effort required to verify documents. With Kolena's AI agent platform, construction companies can automate the review of G702 and G703 forms, catching costly discrepancies and boosting accuracy—all using plain language prompts. In this article, we will explore how to create a custom AI agent, upload documents, and streamline workflows without writing a single line of code. In this article: The Importance of Accurate Payment Applications Introducing Kolena's AI for Payment Applications Streamlining the Review Process The Future of Payment Applications in Construction Getting Started with Kolena The Importance of Accurate Payment Applications The construction industry is notorious for its complex payment processes. A typical payment application, such as the G702 form, involves multiple contractors, dozens of line items, and precise values that must match perfectly across various documents. A single missed signature or calculation error can delay payments by weeks, causing cash flow issues for contractors and subcontractors alike. By automating the payment application process with AI, companies can mitigate these risks and enhance their operational efficiency. Automating these processes not only saves time but also eliminates manual errors, ensuring that payments are processed swiftly and accurately. Introducing Kolena's AI for Payment Applications With... --- > Upgrade operations with technology for property management. Discover tools to boost efficiency, cut costs, and improve tenant satisfaction. - Published: 2025-06-13 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/technology-for-property-management/ - Categories: AI for Real Estate In today's competitive real estate market, staying ahead of the curve is no longer a luxury, it's a necessity. For property managers, this means embracing the transformative power of technology. Gone are the days of tedious manual processes and reactive problem-solving. A new era of technology for property management is here, driven by artificial intelligence (AI) and automation, and it's revolutionizing everything from tenant interactions to operational efficiency. The integration of advanced technological solutions is not just about keeping up; it's about unlocking new opportunities for growth, enhancing tenant satisfaction, and future-proofing your business. According to a recent report by Deloitte, a significant majority of real estate firms are increasing their investment in AI and automation, recognizing its potential to deliver a substantial competitive edge. This shift towards a more tech-centric approach is reshaping the property management landscape, and those who fail to adapt risk being left behind. In this article: The Unavoidable Rise of AI in Property ManagementKey Areas Where Technology is Transforming Property ManagementChoosing the Right Technology for Your Property Management NeedsThe Future of Property Management is Intelligent and Connected The Unavoidable Rise of AI in Property Management Artificial intelligence is at the forefront of the technological revolution in property management. AI-powered tools are no longer the stuff of science fiction; they are practical, accessible solutions that address some of the most significant challenges in the industry. From automating routine tasks to providing deep, data-driven insights, AI is empowering property managers to work smarter, not harder. The impact... --- > Discover how property management automation transforms operations, reduces costs by 70%, and increases ROI. Strategies, tools, and trends. - Published: 2025-06-13 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/property-management-automation/ - Categories: AI for Real Estate In today's rapidly evolving real estate landscape, property management automation has become the cornerstone of operational excellence and financial success. Cloud-based systems and AI-driven automation are at the forefront of these changes, fundamentally reshaping how property managers handle daily operations, engage with tenants, and maximize returns on investment. For property managers still relying on manual processes, the message is clear: automation isn't just an option—it's a necessity for survival and growth in 2025. As we've explored in our previous property management automation guide, technology adoption is revolutionizing every aspect of property management. What is Property Management Automation? Property management automation leverages technology and software to perform routine tasks without direct human intervention. This comprehensive approach transforms everything from rent collection and maintenance scheduling to tenant communications and financial reporting into streamlined, efficient processes. The modern property management automation system encompasses various technologies, including: AI-powered predictive analytics for maintenance and pricing optimization Cloud-based property management platforms for centralized operations Automated communication systems for tenant engagement Smart building integration for real-time property monitoring Blockchain technology for secure lease management The Business Case: Why Property Management Automation Delivers Exceptional ROI Cost Reduction and Efficiency Gains By streamlining operations and minimizing manual work, companies significantly reduce operating expenses. According to McKinsey's research on real estate transformation, property managers implementing automation report: 15-20 hours saved weekly on administrative tasks $2,000+ monthly savings in labor costs 90% reduction in payment disputes 70% faster maintenance response times Revenue Enhancement Automation directly impacts the bottom line through multiple... --- > Discover how AI is revolutionizing property management. Learn how AI tools can automate tasks, reduce costs, and increase your overall ROI. - Published: 2025-06-13 - Modified: 2025-06-18 - URL: https://www.kolena.com/blog/ai-for-property-management/ - Categories: AI for Real Estate The property management landscape is undergoing a seismic shift. Gone are the days of manual administrative tasks, reactive maintenance, and gut-feeling decisions. Today, a new force is reshaping the industry, promising unprecedented efficiency, enhanced tenant experiences, and a significant boost to your bottom line: Artificial Intelligence (AI). For property managers, embracing AI is no longer a futuristic concept; it's a competitive necessity for automating property management with AI. At Kolena, we understand the complexities of managing properties in an increasingly digital world. This comprehensive guide will explore the transformative power of AI for property management, offering actionable insights to help you leverage this technology for sustainable growth. In this article: What is AI for Property Management? Why the Sudden Surge in AI Adoption? The Tangible Business Advantages of AI in Property ManagementDrive Unprecedented Efficiency and Reduce Operational CostsEnhance Tenant Screening and Reduce Vacancy RatesProactive Maintenance and Cost SavingsKey Applications of AI in Modern Property Management1. AI-Powered Tenant Screening and Onboarding2. Intelligent and Automated Maintenance Requests3. Dynamic Pricing and Revenue Management4. Predictive Analytics for Strategic Decision-MakingThe Future of Property Management is Intelligent What is AI for Property Management? At its core, AI for property management involves using intelligent software to automate, streamline, and enhance various aspects of property oversight. These AI-powered systems can analyze vast amounts of data, identify patterns, make predictions, and even interact with tenants, freeing up your valuable time to focus on strategic initiatives. The market for these technologies is expanding rapidly, with the Generative AI in Real... --- > Generative AI is revolutionizing technology in real estate, helping professionals boost efficiency and innovation. - Published: 2025-06-11 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/technology-in-real-estate-harnessing-generative-ai-for-a-competitive-edge/ - Categories: AI for Real Estate Real estate is undergoing a tech-driven revolution. Technology in real estate – especially generative AI – is changing how commercial firms, residential brokers, and property developers operate. Once slow to adopt new tech, the industry is now embracing AI-powered solutions (often dubbed PropTech innovations) to automate tedious tasks, reduce errors, and uncover new insights. McKinsey estimates that generative AI could create $110–$180 billion in annual value for real estate by streamlining operations and slashing costs. In the words of one industry expert, “AI won’t replace real estate people. AI will replace real estate people who don’t have AI. ” Forward-thinking leaders across commercial, residential, and development sectors are investing in AI to stay competitive. Why the surge in AI adoption? Simply put, generative AI can do in minutes what used to take hours or days, all with great accuracy. According to Knight Frank’s 2025 survey, nearly half of real estate companies expect high AI adoption within a year to drive efficiency. A Deloitte study similarly found over 72% of real estate owners worldwide are already committing or plan to commit to AI solutions. Even more striking, a 2024 KPMG poll reported 100% of surveyed real estate professionals see generative AI as important to maintaining a competitive edge. The message is clear: embracing AI isn’t just an IT upgrade – it’s now a strategic imperative for growth and innovation in real estate. Technology and the Rise of Generative AI in Real Estate PropTech refers to the wave of digital innovation in... --- > Discover how real estate portfolio management software streamlines asset tracking, automates reporting, and improves decision-making. - Published: 2025-06-10 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/real-estate-portfolio-management-software/ - Categories: AI for Real Estate Introduction: Why Portfolio Management Needs a Modern Upgrade Managing a real estate portfolio—whether it includes 5 properties or 500—comes with a host of challenges. Spreadsheets become chaotic. Data lives in silos. Reporting to investors or stakeholders takes hours, and manual errors can cost you millions. That’s why more real estate professionals are turning to real estate portfolio management software to unify their operations. By leveraging automation, AI, and centralized dashboards, these platforms give owners, asset managers, and investors a single source of truth for every asset in their portfolio. From rent roll analysis and lease tracking to forecasting and performance benchmarking, smart portfolio management software helps firms unlock higher ROI and reduce risk—at scale. What Is Real Estate Portfolio Management Software? Real estate portfolio management software is a centralized platform that helps investors and operators oversee, analyze, and optimize property performance across multiple assets. It aggregates data such as leases, expenses, rent collections, and maintenance records, and combines it with key portfolio-wide metrics like NOI, IRR, and occupancy rates. This unified view enables faster, data-driven decision-making, improves transparency, and supports scalable growth by streamlining operations and automating reporting across the entire real estate portfolio. Key Features to Look For Centralized Document Management Top-performing software platforms store and index key documents—leases, OM packets, title reports, insurance, utility bills—in a searchable, structured format. This eliminates hunting through folders or emails when it’s time for a refinance or audit. Automated Reporting and Analytics Instead of manually compiling spreadsheets each month, real estate portfolio... --- > Discover how automation is transforming property development—from site analysis and design to document processing and compliance. - Published: 2025-06-10 - Modified: 2025-06-17 - URL: https://www.kolena.com/blog/automation-in-property-development/ - Categories: AI for Real Estate Why Automation in Property Development Is Crucial Property development has always been a high-stakes, complex process—one filled with paperwork, regulations, contractor coordination, and millions in capital on the line. But today, new technologies are offering developers a powerful edge. Automation in property development is streamlining workflows, reducing errors, and accelerating time to market. Thanks to AI, machine learning, and workflow automation tools, developers can now automate everything from feasibility analysis and permit documentation to lease abstraction and utility cost forecasting. In an industry where timelines and budgets can make or break profitability, automation is emerging as the key to smarter, faster, and more sustainable development. What Does Automation in Property Development Mean? Automation in property development refers to the application of digital tools and AI systems to reduce manual tasks across the development lifecycle. This includes pre-construction planning, design and architecture, construction oversight, financial modeling, and post-construction operations. At its core, automation helps teams scale operations without scaling costs. It eliminates redundancy, improves data accuracy, and increases productivity—turning what was once a paper-heavy process into a tech-enabled engine for growth. For example, AI agents automate lease reviews, rent-roll standardization, and utility analysis—core functions in property due diligence and asset planning. These tools integrate into existing workflows, allowing developers to focus more on strategy and less on spreadsheets. Key Benefits of Automation in Property Development Accelerated Site and Feasibility Analysis Identifying profitable land parcels and running zoning checks is traditionally a time-intensive process. With AI tools, developers can automate zoning lookups,... --- > Discover how ChatGPT is transforming real estate workflows by generating listings, emails, and reports. Learn its benefits and limitations. - Published: 2025-06-10 - Modified: 2025-06-10 - URL: https://www.kolena.com/blog/chatgpt-for-real-estate/ - Categories: AI for Real Estate Real estate professionals are increasingly experimenting with ChatGPT for real estate tasks – from drafting property listings to summarizing contracts – in hopes of streamlining their workload. ChatGPT’s generative AI can instantly produce polished text for marketing or communications, offering a powerful boost in productivity. Agents and brokers are leveraging ChatGPT to save time on routine writing tasks, allowing them to focus on clients and deals. However, while ChatGPT provides clear benefits, it is not a magic bullet. This AI tool comes with critical limitations around legal accuracy, data privacy, and workflow integration that real estate teams must manage. In this post, we’ll explore how to best use ChatGPT in real estate, where it excels, its key shortcomings, and why specialized solutions like Kolena can fill the gaps by automating complex document workflows accurately and securely. This blog post explores practical use cases where ChatGPT delivers quick wins in real estate, as well as areas where it underperforms, such as legal document analysis and compliance checks that demand precision. Crucially, we’ll discuss how Kolena’s AI agents address these limitations through full automation of document-heavy workflows like lease abstractions, PayApp invoice processing, and offering memorandum generation. By the end, you’ll understand how to leverage ChatGPT for real estate tasks, when to rely on more specialized AI solutions, and how adopting the right tools can translate into real business value. How Real Estate Professionals Use ChatGPT ChatGPT has quickly become a go-to assistant for many real estate professionals because of its versatility... --- > Discover how AI is reshaping real estate investing—from predictive analytics and deal sourcing to rent roll automation. - Published: 2025-06-09 - Modified: 2025-06-17 - URL: https://www.kolena.com/blog/ai-in-real-estate-investing/ - Categories: AI for Real Estate Why AI is Reshaping Real Estate Investing For decades, real estate investing has relied on market intuition, local knowledge, and manual analysis. But in today’s data-driven world, that approach no longer scales. Artificial intelligence (AI) is transforming real estate investing by enabling smarter, faster, and more predictive decisions—powered by data, not guesswork. Whether it's identifying undervalued properties, analyzing offering memorandums, or forecasting long-term cash flow, AI gives investors a powerful advantage. This shift is already underway. According to Deloitte’s 2024 Commercial Real Estate Outlook, over 60% of real estate firms plan to increase investment in AI and automation. Those who adopt early will unlock a new era of growth and operational efficiency. What Is AI in Real Estate Investing? AI in real estate investing refers to using machine learning, natural language processing (NLP), and automation to streamline key workflows across the property investment lifecycle. From due diligence and deal sourcing to financial modeling and portfolio management, AI can process massive volumes of structured and unstructured data to surface patterns and insights that humans would miss or take days to uncover. A prime example is Kolena’s AI-powered agent platform, which helps investors instantly analyze lease agreements, extract insights from offering memorandums, and benchmark property performance. In this AI-driven model, real estate becomes more about strategic decision-making and less about data wrangling. Smarter Deal Sourcing with AI Sourcing quality investment opportunities has always been a blend of network access and market timing. AI changes that by enabling scalable, data-backed deal discovery. Modern... --- > Discover how commercial real estate property management software is being transformed by AI. Platforms, benefits, implementation, and trends. - Published: 2025-06-08 - Modified: 2025-06-13 - URL: https://www.kolena.com/blog/commercial-real-estate-property-management-software-ai/ - Categories: AI for Real Estate The commercial real estate (CRE) industry is experiencing a seismic shift as artificial intelligence (AI) transforms how properties are managed, operated, and optimized. Commercial real estate property management software has evolved from simple administrative tools into sophisticated AI-powered solutions that are reshaping the entire industry landscape. This transformation is not just about adding new features—it's about fundamentally reimagining how CRE professionals work and make decisions. For insights on how AI agents are transforming commercial real estate in 2025, check out our comprehensive guide. Understanding Commercial Real Estate Property Management Software Commercial real estate property management software, also known as cPMS or Commercial Property Management System, is a specialized platform designed to streamline the complex tasks associated with managing commercial properties. These comprehensive solutions handle everything from tenant communications and maintenance tracking to lease administration and financial reporting for office buildings, retail spaces, hotels, industrial facilities, and other non-residential properties. Modern CRE management platforms have become the central nervous system for property operations. Today's solutions offer extensive functionality including: Automated tenant communication systems Comprehensive maintenance ticketing and tracking Digital lease management and document storage Integrated payment processing and accounting Space utilization optimization tools Smart utility management capabilities Advanced CRM features tailored for CRE Mobile and cloud accessibility Customizable reporting dashboards The breadth of these capabilities creates numerous touchpoints where AI can introduce transformative value, making property management systems increasingly intelligent and proactive rather than merely reactive. The AI Revolution in Commercial Real Estate Property Management Software According to JLL's 2024 Global... --- > Discover how AI tools deliver 3.5X ROI in commercial real estate. 90% faster underwriting, automated lease abstraction - your 2025 CRE guide. - Published: 2025-06-08 - Modified: 2025-06-08 - URL: https://www.kolena.com/blog/ai-tools-commercial-real-estate-roi-guide/ - Categories: AI for Real Estate Managing commercial real estate (CRE) portfolios in 2025 feels like juggling while riding a unicycle—but AI tools for commercial real estate are turning those challenges into competitive advantages. Property valuations need updating, lease abstractions pile up, and deal sourcing consumes endless hours. It’s little wonder 76 % of CRE organizations now rely on smart automation to conquer these pain points. The industry sits at an inflection point. With the PropTech AI market projected to hit $159. 9 billion by 2033, forward‑thinking professionals see average returns of 3. 5× when they deploy AI tools for commercial real estate. This guide covers six workflows—valuation, underwriting, lease abstraction, deal sourcing, property management, and marketing—showing how each benefits from purpose‑built AI. Valuations: Weeks to Minutes with AI‑Powered Models Traditional appraisals can devour analyst hours. Modern AVMs ingest thousands of data points in seconds, producing real‑time estimates that adjust as markets move. Portfolio‑level assessments that once required weeks can be refreshed in under an hour—while maintaining institutional‑grade accuracy. Why it matters: Continuous valuation streams empower asset managers to trigger hold‑sell decisions faster, support quarterly re‑marking for investors, and feed live data into debt‑covenant dashboards. Early adopters also see tighter spreads on refinancing because lenders trust the freshness and granularity of AI‑driven comps. Integrations: Modern valuation engines connect to rent‑roll software, permitting instant recalculation when tenant rosters change. Sensitivity sliders: Users can drag market‑rent or cap‑rate sliders and see IRR impacts in seconds—ideal for investment committee meetings. Underwriting Automation: Lending Decisions up to 90 % Faster Next‑generation underwriting engines extract rent‑roll data, generate risk... --- > Commercial real estate investment management software guide. Compare platforms, pricing & features for CRE professionals. - Published: 2025-06-07 - Modified: 2025-06-13 - URL: https://www.kolena.com/blog/commercial-real-estate-investment-software-guide/ - Categories: AI for Real Estate - Tags: Real Estate, CRE Commercial real estate investment management software has revolutionized how CRE professionals manage portfolios, streamline operations, and maximize returns. This comprehensive guide explores the leading commercial real estate investment management software solutions, helping you select the right platform for your organization. The commercial real estate investment management software market has reached a critical inflection point, valued at $26. 36 billion in 2024 and projected to expand to $49. 94 billion by 2034. With 76% of CRE organizations actively implementing AI solutions and venture capital pouring $3. 2 billion into AI-powered PropTech in 2024 alone, selecting the right commercial real estate investment management software has become critical for competitive advantage. Market dynamics reshape CRE software selection The global commercial real estate investment management software market demonstrates robust fundamentals with growth rates between 9. 27% and 12. 8% CAGR through 2030. North America maintains market leadership with 35. 7% share, while Asia-Pacific emerges as the fastest-growing region at 13. 7% CAGR, driven by rapid urbanization and infrastructure development in China, India, and Japan. This geographic shift reflects broader market dynamics where cloud-based solutions now command 56. 9% adoption rates, fundamentally changing how investment managers approach commercial real estate investment management software selection. Commercial real estate professionals face unique challenges when selecting investment management platforms in 2025. Investment managers struggle with legacy systems that create data silos, while fund managers report spending up to three weeks generating reports that modern commercial real estate investment management software can produce in under two hours. 68% of... --- > Discover how real estate AI tools empower commercial firms and residential brokers boost efficiency, cut costs, and drive business growth. - Published: 2025-06-06 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/real-estate-ai-tools-driving-efficiency-and-growth-in-real-estate/ - Categories: AI for Real Estate AI is rapidly transforming the real estate industry, from automating tedious paperwork to uncovering market insights. In fact, over 72% of real estate owners and investors globally are already committing or plan to commit to AI solutions. Forward-thinking commercial real estate firms and residential brokers are adopting real estate AI tools to gain a competitive edge, improve operational efficiency, and fuel business growth. This blog post explores high-impact automation use cases – including lease abstraction, PayApp (payment application) processing, and offering memorandum drafting – and reviews the top AI tools (from industry giants and Kolena) that are revolutionizing real estate today. Faster Processes and Fewer Errors: AI-driven software can complete document-heavy tasks in minutes, not weeks, dramatically reducing turnaround times and human errors. Cost Savings: By automating what used to require hours of manual labor or costly outsourcing, AI helps cut operating costs without compromising accuracy . Better Insights & Compliance: Advanced AI can instantly flag missing information, key terms, and compliance issues in leases or contracts , giving firms greater visibility into risks and opportunities. Schedule 1:1 Demo with an AI Enablement Expert Why Real Estate Firms are Embracing AI Modern real estate transactions generate massive paperwork and data, from lengthy lease contracts to financial reports. Manually handling these is slow and error-prone. AI in real estate offers powerful benefits that directly impact a firm’s bottom line and service quality: Competitive Advantage: Early AI adopters can get ahead of the competition by closing deals faster and responding to clients... --- > Discover how AI automation in real estate streamlines lease abstraction, payment applications, and offering memorandum drafting, and more. - Published: 2025-06-06 - Modified: 2025-06-18 - URL: https://www.kolena.com/blog/ai-automation-in-real-estate-efficiency-and-roi-for-lease-abstraction-payapps-and-offering-memos/ - Categories: AI for Real Estate Real estate firms handle countless documents and repetitive workflows – from extracting lease details to compiling financial reports. Recent advances in AI automation promise to turn these manual, time-consuming tasks into rapid, accurate processes. For technology decision-makers and industry executives, the message is clear: adopting AI isn’t just a tech upgrade, it’s a strategic imperative. As one industry expert put it, “AI won’t replace real estate people. AI will replace real estate people who don’t have AI. ” Forward-thinking leaders are now searching for terms like “AI real estate automation” and “AI lease abstraction software” – high-intent keywords that signal a readiness to invest in efficiency gains. This blog dives into the most impactful use cases of AI in real estate (from lease abstraction to PayApp report generation to offering memorandum drafting), showing the ROI-driven advantages and how to optimize your content and strategy for maximum visibility. In this article: The Strategic Case for AI Automation in Real EstateAI-Powered Lease Abstraction: From Weeks to MinutesAutomating Payment Applications (PayApp) and Invoice WorkflowsGenerative AI automation for Offering Memorandum DraftingConclusion: Embrace AI automation for Lasting Competitive Advantage The Strategic Case for AI Automation in Real Estate Modern real estate operations are ripe for AI-driven transformation. Commercial real estate (CRE) companies have historically been slow to adopt new tech, but that’s changing rapidly. AI-powered tools (often dubbed “PropTech” solutions) can process documents hundred times faster than humans , drastically reduce errors, and uncover insights that staff might miss. McKinsey researchers estimate that generative AI... --- > Learn how AI in commercial real estate automates lease abstraction, predictive maintenance, underwriting, ESG reporting and more. - Published: 2025-06-06 - Modified: 2025-06-13 - URL: https://www.kolena.com/blog/ai-in-commercial-real-estate/ - Categories: AI for Real Estate - Tags: Real Estate, CRE AI in commercial real estate is now a board‑level priority, not a side experiment. As markets tighten and tenant expectations soar, CRE firms are racing to replace manual, spreadsheet‑driven processes with intelligent automation. Today’s AI agents extract lease clauses in seconds, predict equipment failures before they occur, and draft investor‑ready offering memorandums overnight. Firms that deploy AI are seeing shorter deal cycles, lower operating expenses, and data‑driven insights that reposition them ahead of the competition. Market Drivers Accelerating AI Adoption Several macro forces are converging to push AI up the real‑estate agenda: Margin compression: Higher interest rates and operating costs require leaner operations. Data deluge: CRE deals generate thousands of pages of leases, environmental reports and rent rolls. Talent scarcity: Firms struggle to hire enough analysts for diligence surges; AI fills the gap. ESG mandates: Investors demand proof of sustainability performance, fueling demand for AI‑driven building analytics. A McKinsey study forecasts generative AI alone could create $110–$180 billion in new annual value for real estate by automating document review, underwriting and customer service. In addition to cost-pressure and data volume, investors are rewarding owners who can demonstrate “AI-ready” portfolios—properties with sensor infrastructure, modern data rooms, and automated reporting. These assets regularly fetch premium pricing because buyers know they can operate more efficiently from day one. Brokerage houses are likewise prioritizing tech-forward landlords in their marketing decks, citing shorter once-blanketed marketing periods and higher close rates on AI-enabled properties. Core AI Building Blocks in CRE Understanding the main technologies helps leaders align... --- > Discover how AI in commercial real estate is streamlining lease abstraction, contracts, and investment summaries in 2025. - Published: 2025-05-15 - Modified: 2025-06-25 - URL: https://www.kolena.com/blog/ai-in-real-estate-top-5-use-cases-2025/ - Categories: AI for Real Estate AI in real estate is no longer a futuristic concept – it’s here, transforming how property professionals work across the United States. From commercial real estate firms to residential brokerages and investors, artificial intelligence is being leveraged to automate tedious tasks, uncover insights, and drive faster decisions. For VPs, directors, and owners in the CRE industry, adopting AI isn’t just a tech upgrade – it’s a strategic imperative. As one industry expert put it, “AI won’t replace real estate people. AI will replace real estate people who don’t have AI. ” In other words, leveraging AI tools (often called AI agents for their ability to act autonomously on tasks) is now key to staying competitive and efficient. Leading commercial real estate firms are rapidly embracing AI for a range of use cases, from automating tedious paperwork to uncovering hidden insights in their portfolios. Major CRE software providers are also integrating AI into their platforms, validating that this trend is here to stay. According to Knight Frank’s 2025 CRE survey, while many organizations are still early in adoption, optimism is high – nearly half of companies expect high AI adoption within a year to drive operational efficiency . The opportunity is clear: AI can handle labor-intensive processes in minutes instead of days, with greater accuracy and consistency than manual workflows. In this post, we’ll explore the top 5 use cases for AI in commercial real estate professionals in 2025: AI-Powered Lease Abstraction – automatically extracting key terms from leases Automating PayApp... --- > Learn how to automate loss run reporting using AI for faster insights, improved accuracy, cost savings, and smarter decision-making. - Published: 2025-04-28 - Modified: 2025-06-30 - URL: https://www.kolena.com/blog/automate-loss-run-analysis-using-ai/ - Categories: AI for Insurance - Tags: Loss Run, Insurance, Claims Processing In the insurance industry, loss run reports are invaluable yet notoriously time-consuming documents. Forward-thinking insurers are now turning to AI to automate loss run analysis and reporting – drastically accelerating insights, reducing manual drudgery, and improving accuracy. This post explores how AI is revolutionizing loss run analysis, and what it means for insurance executives, brokers, risk managers, and insurtech developers. We’ll dive into the business advantages of AI-driven loss run reporting, provide actionable insights for industry leaders, and share ideas for visualizing these benefits through infographics. In this article: What Are Loss Run Reports (and Why They Matter)? The Pain of Manual Loss Run AnalysisAI-Powered Loss Run Analysis: How It WorksKolena’s AI Technology for Automated Loss Run ReportingBusiness Advantages of AI-Driven Loss Run AnalysisActionable Insights for Industry LeadersConclusion: Embracing AI for a Competitive Edge https://www. youtube. com/watch? v=MfW5tV7u9pk What Are Loss Run Reports (and Why They Matter)? Loss run reports document an insured’s claims history over a period of time. In essence, loss runs break down the claims paid out versus the premiums paid, offering a detailed snapshot of a policyholder’s risk profile and claims history. These reports list key details for each claim – dates of loss, amounts paid, claim status (open/closed), etc. – and are essential in insurance underwriting because they provide a comprehensive history of losses for underwriters to assess risk. A loss run helps insurers and brokers understand patterns in claims (frequency, severity, types of losses) which inform pricing, coverage decisions, and risk management strategies. However,... --- > ROI of automating lease abstraction with AI. Learn how CRE firms can save time, reduce costs, and gain a competitive advantage by streamlining lease data extraction and analysis. - Published: 2025-04-28 - Modified: 2025-06-18 - URL: https://www.kolena.com/blog/roi-of-ai-powered-lease-abstraction-in-cre/ - Categories: White Paper, AI for Real Estate, AI Lease Abstraction - Tags: AI, Lease Abstraction, REIT, CRE Deliver tangible ROI from automating lease abstraction with AI: Traditionally, teams have spent hours manually reviewing and summarizing leases, leading to high costs, slow deal cycles, and frequent errors. Today, AI-powered lease abstraction is changing the game. By dramatically cutting down the time, cost, and risk involved in extracting critical lease insights, automation offers CRE firms a clear and compelling return on investment. In this article, we break down the real-world numbers to show just how much value AI can create for real estate owners, operators, and investment managers. https://youtu. be/dGXFvdCmN5Y? si=eHrJ-4speNGhBgz8 Key Research Findings Labor Cost of Lease Management Roles: Lease administrators and analysts in U. S. commercial real estate (CRE) firms earn roughly $25–$30 per hour on average (about $50k–$60k per year) . More senior roles like asset managers average around $40+ per hour (approximately $85k/year) zippia. com. These salaries represent the baseline cost for manual lease abstraction work. Time to Manually Abstract a Lease: Manually reading and abstracting a commercial lease is a labor-intensive process taking on the order of 3–5 hours per lease on average . Complex or lengthy leases (often 20–50 pages) can require 4–8 hours of work each . In practice, many CRE teams report spending essentially half a day per lease to extract all key terms and data points . This means one full-time staff member might only process a couple of leases per day at most. Time with AI-Powered Abstraction: AI lease abstraction tools can cut this process down drastically. Machine learning... --- > Kolena's AI agents revolutionize lease abstraction for commercial real estate, delivering faster, more accurate, document heavy workflows. - Published: 2025-04-25 - Modified: 2025-06-19 - URL: https://www.kolena.com/blog/automating-lease-abstraction-with-ai-a-new-era-for-cre-document-workflows/ - Categories: AI for Real Estate, AI Lease Abstraction - Tags: AI, Lease Abstraction, CRE In the US commercial real estate (CRE) sector, asset managers, property managers, and legal teams are increasingly turning to automation for lease abstraction. Traditional methods are slow, costly, and prone to errors. Advanced AI lease data extraction tools, however, offer CRE teams a competitive edge by streamlining the abstraction process, boosting accuracy, and significantly reducing turnaround times. Why Automate Lease Abstraction? Manual lease abstraction is tedious and error-prone, consuming valuable time that could be spent on strategic tasks. AI-driven automation solutions dramatically cut down abstraction time and improve accuracy, enabling faster deal-making, better compliance, and informed decision-making. Manual vs. AI-Driven Lease Abstraction Manual abstraction requires painstaking review and summarization of leases, taking hours per document. AI-powered abstraction processes documents rapidly, extracts key data consistently, and compiles summaries automatically. Recommended Visual: Diagram contrasting manual and AI-driven lease abstraction workflows. How AI Lease Abstraction Works (Workflow Overview) https://youtu. be/dGXFvdCmN5Y? si=eHrJ-4speNGhBgz8 Document Ingestion: AI systems ingest leases from various formats (PDFs, Word). AI Data Extraction: NLP and OCR technologies identify and extract critical lease clauses. Automatic Summary Generation: AI compiles extracted data into structured, standardized abstracts. Human Review & Validation: Analysts efficiently review abstracts and validate complex clauses. Integration: AI-extracted lease data integrates directly into existing CRE management systems such as Yardi or RealPage. Talk to Kolena's AI enablement expert to explore AI automation use cases for your team. ROI Summary: Time & Cost Benefits of Automating Lease Abstraction 70–90% time savings per lease compared to manual abstraction. $120–$240 saved per lease in... --- > Discover how AI technology is transforming the claims processing landscape in the insurance industry, enhancing efficiency and accuracy. - Published: 2025-04-23 - Modified: 2025-04-23 - URL: https://www.kolena.com/blog/streamlining-claims-processing-ai/ - Categories: AI for Insurance - Tags: AI, Insurance, Property Damage, Claims Processing Claims processing with AI is revolutionizing the way property damage claims are handled. This guide will walk you through the steps to build a custom AI agent that streamlines the claims process, enhancing accuracy and efficiency. Table of Contents Introduction to Claims Processing with AI Understanding the Challenges in Claims Management Getting Started: Creating Your AI Agent Using Templates for Insurance Claims Inputting Example Files for the AI Extracting Key Information: The Basics Enhancing Data Extraction: Summary Tables Improving AI Responses with Natural Language Reasoning and Confidence in AI Decision-Making Analyzing Photo Evidence with AI Creating Summary Reports with AI Setting Up Automation for Future Claims Versatility of AI Agents Beyond Insurance Conclusion: Getting Started with Your AI Agent Introduction to Claims Processing with AI In the insurance industry, claims processing with AI is rapidly transforming operations. By automating tedious tasks, insurance professionals can focus on higher-value activities. The AI agent we’re demonstrating through Kolena’s platform simplifies the claims process, making it faster and more accurate. Utilizing AI, we can streamline workflows, reduce human error, and ensure compliance with regulations. This not only enhances customer satisfaction but also improves overall efficiency. Understanding the Challenges in Claims Management Claims management can be a daunting task, with numerous steps involved. Insurance adjusters often face challenges such as: Volume of Documentation: The sheer amount of data to review, from policy documents to images, can overwhelm even the most diligent adjusters. Inconsistencies: Identifying discrepancies in claims documentation requires careful scrutiny and can be time-consuming.... --- > Discover how AI can simplify loss run reporting, enhance accuracy, and save time for insurance professionals with Kolena's innovative platform. - Published: 2025-04-22 - Modified: 2025-04-22 - URL: https://www.kolena.com/blog/ai-loss-run-insurance-reporting/ - Categories: AI for Business Operations, AI for Insurance - Tags: AI, Loss Run, Insurance In this blog, we explore how to leverage AI for Loss Run reports, making the cumbersome process of analyzing insurance documents a breeze. By using Kolena's AI agent creation platform, you can automate the extraction and analysis of critical data, saving time and enhancing decision-making, without needing to write any code. Table of Contents Introduction to AI for Loss Run Understanding Loss Runs The Need for Automation in Insurance Reporting Creating Your AI Agent with Kolena Uploading Sample Documents for Instructions Using Natural Language for Data Extraction Previewing and Customizing Data Extraction Extracting Policy Level Details Providing Feedback for Continuous Improvement Understanding the Reasoning Behind Extracted Data Generating Executive Summaries with the AI From Loss Run Document to Complete Report Processing New Loss Runs Automatically Setting Up Automated Connections for Efficiency Creating Dashboards for Data Analysis Conclusion: The Future of AI in Insurance Introduction to AI for Loss Run Reports AI for Loss Run reporting is transforming how insurance professionals manage and analyze critical data from loss run reports. With Kolena's AI agent creation platform, you can automate the extraction and interpretation of data from these complex documents. This automation not only saves time but also enhances accuracy in risk assessment and decision-making. Understanding Loss Runs Loss runs are essential documents used in insurance underwriting. They provide a comprehensive history of an insured entity's claims, detailing everything from claim amounts to the status of each case. Understanding these reports is crucial for assessing risk, making informed decisions, and ensuring compliance... --- > Discover how AI is transforming the review process for Environmental Site Assessments, making it faster and more efficient. - Published: 2025-04-08 - Modified: 2025-06-05 - URL: https://www.kolena.com/blog/ai-for-esa-reports/ - Categories: AI for Real Estate - Tags: AI, Environmental Site Assessments AI for ESA reports is revolutionizing how we review and analyze Environmental Site Assessments. Join us as we explore how Kolena's AI agents can automate your ESA report reviews, making the process faster, more accurate, and freeing up your time for higher-value tasks. Table of Contents Introduction to Kolena's AI Agent Creating Your First Agent Defining the Agent's Objectives Setting Tasks for the Agent Utilizing Acronyms and Specialized Terms Extracting Key Information Reviewing Extraction Results Understanding Issues and Concerns Analyzing Chemical Testing Results Generating and Sharing Reports Reusing the Agent for Multiple Documents Connecting to Predefined Sources Introduction to AI Agents Welcome to the future of Environmental Site Assessment (ESA) report reviews! With AI agents, we can automate the tedious tasks involved in analyzing these reports. It's a platform designed to streamline your workflow, allowing you to focus on more critical aspects of your job while the AI handles the heavy lifting. Using Kolena's AI agent creation platform, you can easily set up agents tailored to your specific needs. Whether you’re working with complex documents or seeking to extract key insights, this tool is equipped to enhance your efficiency. For more information, check out Kolena. Creating Your First AI Agent Creating your first AI agent is a straightforward process. Start by selecting from existing templates or customize your own. For our demonstration, we’ll create a new template specifically designed for ESA report reviews. Begin by uploading a sample environmental assessment document. This document will serve as the basis for defining... --- > Discover how AI can streamline the creation of investment memos for REITs, and how AI agents can speed up and improve your investment process - Published: 2025-04-08 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/ai-for-reit-investment-memos/ - Categories: AI for Real Estate - Tags: AI, Investment Memo, REIT In the fast-paced world of real estate investment trusts (REITs), efficiency is key. This blog explores how AI for REIT can revolutionize the creation of investment memos, transforming a time-consuming process into an automated breeze using Kolena's innovative AI agent platform. Table of Contents Introduction to AI for REIT Creating Your First AI Agent Uploading Documents for Context Understanding Document Types Supported Simple Extraction: Finding Investment Names Extracting Key Investment Terms Feedback Loop for Continuous Improvement Performing Complex Calculations Customizing Output Formats Integrating with Google Drive The Future of Automated Memos in REITs Introduction to AI for REIT Artificial Intelligence is transforming industries, and real estate investment trusts (REITs) are no exception. With Kolena's AI agent creation platform, you can streamline the entire process of creating investment memos. This allows you to focus on making strategic decisions rather than getting bogged down in tedious manual tasks. Imagine automating the extraction of critical investment details from various documents, all while ensuring accuracy and consistency. This is precisely what our AI for REIT enables you to do. By leveraging AI, you can enhance your investment analysis and reporting, ultimately leading to better decision-making. Creating Your First AI Agent Getting started with Kolena's AI platform is a breeze. The first step is to create your AI agent. Simply navigate to the homepage and click on “Create a New Agent. ” This intuitive interface allows you to define the agent's purpose in natural language, making it accessible even for those without a technical background.... --- > Discover how AI can streamline the creation of investment memos, saving time and enhancing decision-making in real estate. - Published: 2025-04-08 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/ai-for-investment-memos/ - Categories: AI for Real Estate - Tags: AI, Real Estate, Investment Memos Creating investment memos can be a cumbersome task, but with AI for investment memos, this process becomes seamless and efficient. In this blog, we explore how Kolena's AI platform automates the creation of investment memos, allowing you to focus on what really matters—making informed decisions. Introduction to AI Agents and Investment Memos AI is revolutionizing the way we approach investment memos in real estate, allowing investors to make informed decisions faster than ever. The system we demonstrate here is not just about efficiency; it's about enhancing the quality of insights derived from complex data. Investment memos serve as critical documents that summarize the potential of a real estate investment. They encapsulate essential information such as property details, financial projections, and market analyses. With Kolena's AI for investment memos, generating these documents becomes a streamlined process, enabling users to focus on strategic decision-making rather than tedious paperwork. Creating a New AI Agent Creating a new AI agent in Kolena is a straightforward process. You start by accessing the client agents' homepage and clicking on "Create New Agent. " This brings up an intuitive interface where you can specify the objectives for the agent. For instance, if you're looking to evaluate a commercial real estate opportunity, you can input specific instructions or select from existing templates tailored to various use cases. The AI understands your requirements and enriches them, creating a unique agent tailored to your investment needs. Uploading Source Documents Once your AI agent is created, the next step is to... --- > AI agents are intelligent systems that autonomously process information, make decisions, and complete tasks—without needing detailed instructions. They learn from data, adapt to change, and are now accessible to non-technical professionals across a wide range of industries. - Published: 2025-04-08 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/the-rise-of-ai-agents-empowering-everyone-not-just-the-tech-savvy/ - Categories: Company News Artificial intelligence has long been the domain of data scientists, machine learning engineers, and technical specialists. But a new wave of innovation is changing that; AI agents are rising, and they’re here to democratize the power of AI for everyone. AI agents are autonomous systems that can take in information, make decisions, and perform tasks with minimal human intervention. Unlike traditional software that relies on expliacit and detailed instructions, these agents can learn from data, adapt to new information, and handle complex workflows. And perhaps most importantly, they are becoming increasingly accessible to non-technical professionals across industries. A New Era of Empowerment Whether you're an analyst combing through financial reports, a legal professional sifting through case files, or a real estate expert managing leases and contracts, AI agents are rapidly becoming your most reliable digital coworkers. They’re designed to enhance productivity, reduce repetitive tasks, and eliminate errors that often result from human oversight. One of the biggest breakthroughs is how intuitive these systems have become. Natural language interfaces, visual dashboards, and automated workflows mean you don’t need to know Python or build machine learning models to reap the benefits. You just need a question, a goal, or a document-and the AI agent takes it from there. Reduced Errors, More Confidence Human error is an inevitable part of manual data entry, analysis, and document review. Even the most meticulous professionals can overlook a typo in a contract or misclassify a financial line item. AI agents, however, thrive on consistency and precision.... --- > Discover how AI solutions are revolutionizing property management by streamlining move-out inspections and enhancing efficiency. - Published: 2025-04-02 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/automating-property-management-ai/ - Categories: AI for Real Estate - Tags: AI, Property Management, Move-Out Inspection In the world of property management, efficiency is key. Property management with AI has emerged as a game-changer, allowing us to automate tedious tasks like move-out inspections. This blog will guide you through the innovative process of using AI to enhance property condition reviews during tenant turnover. Introduction to AI in Property Management AI is transforming the landscape of property management, streamlining processes that once consumed countless hours. By integrating AI, property management not only enhances efficiency but also improves accuracy in inspections and maintenance tasks. The ability to automate mundane tasks frees up valuable time for property managers to focus on tenant relations and growth. The Role of AI in Enhancing Inspections Imagine having an AI agent dedicated solely to examining the conditions of hundreds of apartments. This technology can classify apartment conditions, identify issues, and ensure that every unit meets the necessary standards. The result? A faster, more reliable turnover process that keeps both landlords and tenants satisfied. Creating an AI Agent for Inspections To get started, the first step is to create an AI agent tailored for inspections. We will be using Kolena AI agents to do this. This Kolena AI agent will be responsible for analyzing photographs of apartments and assessing their conditions. By defining specific criteria, you can ensure that the AI agent focuses on the most critical aspects of each unit. Setting Up the AI Agent Once you initiate the setup, you'll drop in images of an apartment. This is where the magic begins.... --- > Discover how AI-driven utility bill automation can streamline expense management, reduce errors, and uncover savings. - Published: 2025-03-28 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/automating-utility-bill-analysis-ai/ - Categories: AI for Business Operations, AI for Real Estate - Tags: AI, Utility Management, Utility Bill Analysis Property managers and other real estate professionals need to analyze hundreds, even thousands, of utility bills every year. With utility bill analysis with AI, we can efficiently extract crucial information to spot unusual charges and optimize energy use. Let's dive into how to set up an automation to transform utility bill management. Introduction to Utility Bill Automation By leveraging AI, we can streamline the tedious process of manually reviewing bills. Imagine receiving utility bills and having all essential data extracted automatically. This not only saves time but also allows for a more accurate analysis of utility usage. Why Automate? Efficiency: Automating data extraction reduces human error and speeds up the process. Insights: Gain valuable insights into utility consumption habits. Cost Savings: Identify unusual charges and optimize energy use. Creating Your AI Agent The first step in utility bill automation is creating your AI agent. This agent will be responsible for processing the utility bills and extracting the required data. Start by providing a brief description of the agent and a sample utility bill. Setting Up the Agent When setting up your agent, you will need to specify the type of information you want to extract. This could include account holder details, utility types, and billing amounts. Each piece of information plays a critical role in understanding utility usage. Defining the Information to Extract Next, define the specific information you want your agent to extract. This includes account holder information, utility types, and consumption details. A well-defined extraction process enhances the... --- > Discover how AI agents can streamline regulatory housing agreements, enhance accuracy, and reduce manual effort in document-intensive workflows. - Published: 2025-03-27 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/transforming-regulatory-housing-agreements-with-ai/ - Categories: AI for Real Estate - Tags: AI, Regulatory Compliance, regulatory housing agreements In today's world, regulatory housing agreements can be a daunting task. But what if you could automate the entire process? With our AI agents, managing regulatory housing agreements has never been easier. Let’s explore how regulatory housing agreements with AI can transform your workflow. Introduction to AI Agents AI agents are revolutionizing how we handle document-intensive workflows. Imagine having a digital assistant that not only understands complex documents but also automates the extraction of vital information. These agents are designed to streamline processes, making tasks like managing regulatory housing agreements more efficient. The power of AI agents lies in their ability to learn from the data they process. They adapt to your specific needs, whether it's extracting compliance requirements or generating standardized reports. With AI agents, you can significantly reduce manual effort and improve accuracy in your workflows. Understanding Document-Intensive Workflows Document-intensive workflows involve managing large volumes of paperwork, often requiring meticulous attention to detail. These workflows can be cumbersome, especially in industries like real estate and finance, where compliance is critical. Traditional methods often lead to delays and errors, impacting overall productivity. AI agents tackle these challenges head-on. They can process and analyze documents quickly, identifying key information and ensuring compliance with regulations. By automating these workflows, organizations can focus on strategic tasks rather than getting bogged down by paperwork. Creating Your First Agent The first step in harnessing the power of AI agents is creating one tailored to your needs. This process begins with defining the specific tasks... --- > Discover how AI can enhance your loan underwriting process, automate workflows, and improve efficiency. Read our comprehensive guide now! - Published: 2025-03-26 - Modified: 2025-04-08 - URL: https://www.kolena.com/blog/streamline-loan-underwriting-with-ai/ - Categories: AI for Business Operations, AI for Real Estate, AI for Finance - Tags: AI, Financial Services, Loan Underwriting Loan underwriting is a critical process in the financial sector, where detailed assessments are made to evaluate the risk of lending money to applicants. By leveraging loan underwriting with AI, organizations can automate complex workflows, improve efficiency, and gain deeper insights from unstructured financial data. This guide walks through how to set up an AI agent for loan underwriting using Kolena, a no-code AI agent creation platform. Creating Your AI Underwriting Agent To kick things off, we start by creating an AI agent specifically for loan underwriting. We'll name this agent "Loan Underwriting. " This name sets the agent's persona, dictating its language style and capabilities. The next step is to provide the agent with sample documents, which will help in executing the tasks we want it to perform. Kolena supports many document types including docs, pdfs, scanned documents - even ones that are hand-written. In this demo, we simply dragged a (fake) loan application onto this agent. Once the documents are uploaded, we proceed to the next steps of defining tasks for the agent. Defining Tasks for Your Agent The first task we want to assign is to determine the net annual income of the applicant. The beauty of this tool is that you don't need to be a prompt engineer; you provide general instructions, and the tool will convert that into a detailed prompt for the agent to execute. In this example, we simply typed in "net annual income" and the AI self-generated this more detailed prompt that... --- > Discover how AI automation enhances document comparison in commercial property sales, streamlining workflows for efficiency and accuracy. - Published: 2025-03-25 - Modified: 2025-03-25 - URL: https://www.kolena.com/blog/commercial-property-sales-with-ai/ - Categories: AI for Real Estate - Tags: AI, Real Estate, commercial real estate, Property Sales The integration of AI in commercial property sales is a game changer. By leveraging AI-powered automation, businesses can streamline document-heavy workflows, making processes like document comparison not only faster but also more accurate. In this blog, we’ll explore how to create an AI agent specifically for document comparison in a commercial property sale. We'll dive into the details, showcasing how this technology can enhance efficiency and accuracy in critical tasks. Creating Your AI Agent The first step in leveraging AI for a commercial property sale is to create an AI agent tailored for document comparison. This agent will be your assistant throughout the process, designed to handle document-intensive workflows such as insurance compliance and mortgage underwriting. To get started, simply hit "Create Agent. " You'll need to provide some context for your agent to pull the best models for the task at hand. Once you've done that, hit "Continue" to initiate the agent creation process. The last step involves dragging in your data—this can be done easily through a drag-and-drop interface. Our platform supports various file types, from raw audio data to scanned PDFs and images. This flexibility allows you to work with a wide array of documents, making it a breeze to set up your workflow. Running Extracts and Validations Once your workflow is set up, it's time to run some extractions. For instance, you can start by simply typing "owner" to retrieve the property owner’s information from the documents. The AI agent uses natural language processing to understand... --- > Discover how AI-driven automation is transforming document management in real estate, enhancing efficiency and accuracy for professionals. - Published: 2025-03-25 - Modified: 2025-03-25 - URL: https://www.kolena.com/blog/ai-for-real-estate/ - Categories: AI for Real Estate - Tags: AI, Real Estate, Document Management Artificial Intelligence (AI) is reshaping the real estate sector, particularly in automating document-intensive workflows. Real estate professionals are inundated with numerous documents—leases, loan agreements, contracts, and more. This blog explores how AI-driven automation is revolutionizing real estate operations, making processes faster, more accurate, and less reliant on manual effort. Understanding AI Agents AI agents are autonomous systems designed to handle tasks traditionally done by humans. Unlike conventional software, these agents can understand context and make intelligent decisions based on the data they process. They combine foundational models from leading AI providers with memory systems and decision-making capabilities, making them powerful tools for real estate professionals. AI agents can connect to various tools and data sources, enabling them to automate processes like lease abstraction, loan analysis, and contract management. This automation not only improves efficiency but also enhances accuracy, allowing agents to focus on strategic decision-making instead of mundane document processing. Why Real Estate Needs AI Agents The real estate industry is document-heavy, requiring constant management of various legal and financial documents. AI agents can significantly cut down processing time—often by up to tenfold—while improving accuracy. Here are some ways AI agents address key challenges in real estate: Speed: AI agents can process large volumes of documents quickly, enabling faster decision-making. Accuracy: By minimizing human error, AI agents ensure that critical information is extracted correctly. Scalability: AI agents allow real estate businesses to scale operations without hiring additional staff. Compliance: AI agents can automate compliance checks, ensuring that all necessary legal... --- > Discover how AI is transforming rental application reviews, making them faster and more efficient for property managers. Learn about setting up AI agents and their capabilities. - Published: 2025-03-25 - Modified: 2025-03-25 - URL: https://www.kolena.com/blog/faster-rental-application-reviews-ai/ - Categories: AI for Real Estate - Tags: AI, Rental Applications, Property Management   In the competitive world of property management, speed and accuracy are essential. Rental application reviews can be time-consuming, often requiring meticulous attention to detail. Luckily, with AI technology, property managers can streamline this process significantly. In this blog post, we'll explore how AI agents can transform rental application reviews, making them faster, more efficient, and ultimately leading to better decisions. Creating Your AI Agent To kick things off, let’s talk about setting up your AI agent. The first step is to create a new agent tailored specifically for rental applications. You’ll start by naming your agent and defining its tasks. This is crucial, as it sets the groundwork for the efficiency of your rental application reviews. Next, you’ll want to provide your agent with a sample application file. This file typically contains a wealth of information about applicants, often in PDF format. However, it's essential to note that your agent can work with various file types, not just PDFs. Once you upload the sample file, your agent will be ready to go. Defining Agent Tasks Once your agent is set up, the next step involves defining specific tasks. For example, one of the first tasks you might want your agent to perform is extracting the full name of the applicant. This is a straightforward yet essential component of the review process. As you define these tasks, remember that you can provide high-level hints to guide your agent in extracting relevant information. For instance, you might ask it to check... --- > Discover how lease abstraction with AI can streamline the analysis of complex lease documents, saving time and reducing errors. - Published: 2025-03-25 - Modified: 2025-06-20 - URL: https://www.kolena.com/blog/lease-abstraction-with-ai/ - Categories: AI for Real Estate, AI Lease Abstraction - Tags: AI, Lease Abstraction, Document Analysis, Real Estate Lease abstraction is an essential process in the real estate industry, enabling professionals to extract critical information from complex lease documents efficiently. With AI, businesses can now automate this process, saving time and minimizing manual errors. In this blog, we’ll explore how to automate lease abstraction with AI, making it easier to access important lease information quickly. In this article: Understanding Lease Abstraction with AISetting Up Your AI AgentImporting DocumentsDefining Extraction ParametersReceiving Extraction ResultsComplex Data Extraction and CalculationsImproving Output FormatsCalculating Total Lease ObligationsBatch Processing Multiple DocumentsAutomating Document ManagementExporting and Utilizing Extracted DataConclusion: The Future of Lease Abstraction with AI Understanding Lease Abstraction with AI Lease abstraction involves summarizing key terms and provisions from lengthy lease documents into a concise format. This can be a tedious task, especially when dealing with multi-page documents filled with intricate details. AI automates this process, allowing professionals to focus on strategic decision-making rather than getting bogged down in paperwork. Setting Up Your AI Agent To start, let’s dive into the creation of an AI agent specifically designed for lease abstraction. The first step is to access the Kolena agent homepage and create a new agent. Here, you’ll need to specify the objective of the agent, which in our case is to extract key information from a commercial lease agreement. Once you click on “Create New Agent,” you’ll be prompted to name your agent. For our purposes, let’s call it the “Commercial Lease Abstract Extractor. ” This name reflects its primary function and will help in... --- > Discover how AI can streamline your invoice management process, saving time and enhancing accuracy. Learn about the key features and benefits of using AI for invoices. - Published: 2025-03-25 - Modified: 2025-03-25 - URL: https://www.kolena.com/blog/invoice-management-ai/ - Categories: AI for Business Operations - Tags: AI, Invoice Management, Data Processing, AI for Finance Managing and reconciling invoices in an organization is a crucial yet labor-intensive task. Keeping track of suppliers, their outstanding payments, and payment timelines can consume significant time and energy. Fortunately, with AI tools, the burden of invoice management can be significantly reduced, enabling focus on more strategic tasks. Introducing the AI Agent At the core of our solution is the AI agent, designed to function as an intelligent worker. It analyzes data and makes informed decisions based on the context provided. Creating a new agent is straightforward; simply use natural language to define its purpose. For example, you can instruct it to "extract invoice information. " This simplicity makes it accessible for anyone to use. Setting Up Your Agent To get started, you'll need to provide an example file as context. This acts as a template for the AI to learn from. Various file types are supported, including PDFs, scans of handwritten documents, ensuring flexibility in your inputs. Once the agent is created, you can begin specifying the extractions you want to make from your invoices. Key Extractions to Consider Invoice Number: This is vital for tracking purposes. Supplier Name: Essential for identifying who the invoice is from. Tax Information: Understand whether tax is applicable and at what rate. Product Type or Category: Classify invoices based on the goods or services provided. The AI will refine prompts based on the information you provide, allowing for tailored data extraction that evolves over time. For instance, if you want to determine whether... --- > Explore the shortcomings of using RAG for analytical workflows, and contrast it with Kolena’s Restructured, focusing on how they handle common challenges, and why Restructured may be the better choice for businesses that rely on in-depth data analysis. - Published: 2024-11-07 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/using-ai-for-analytical-workflows/ - Categories: Technical In today’s data-driven world, businesses are increasingly turning to AI to streamline complex analytical workflows. From finance to data science, AI tools can automate the retrieval of relevant information and execute time-consuming calculations with remarkable efficiency. Among these tools, RAG (Retrieval-Augmented Generation) has garnered attention for its ability to combine retrieval and generative capabilities, delivering precise and context-aware outputs. However, while RAG has proven useful for many applications, it may fall short when applied to complex analytical workflows. In this post, we’ll explore the shortcomings of using RAG for analytical workflows, and contrast it with Kolena’s Restructured, focusing on how they handle common challenges, and why Restructured may be the better choice for businesses that rely on in-depth data analysis. The Potential (and Limitations) of RAG RAG is a relatively new AI architecture that integrates retrieval systems with generative models. By combining the two, RAG can dynamically pull information from large datasets and synthesize it into coherent and factually informed responses. This hybrid approach is exciting because it allows for on-the-fly content generation based on real-time data retrieval, which is especially valuable for businesses that deal with vast amounts of information. For example, in a customer service scenario, RAG can quickly retrieve relevant documents from a knowledge base and generate an accurate response to a user query. This ability to merge retrieval with content generation leads to more informed outputs, making RAG a valuable tool for quick, fact-based tasks. However, RAG's strengths also reveal its limitations, especially when applied to... --- > As AI evolves, evaluation becomes difficult. Open-source AutoArena automates head-to-head evaluations with LLM judges to rank Gen AI systems. - Published: 2024-10-08 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/how-head-to-head-evaluations-and-elo-scoring-power-autoarenas-accurate-and-trustworthy-ai-model-testing/ - Categories: Technical The Challenge of Evaluating AI Models As AI systems, particularly large language models (LLMs), become more advanced, evaluating their performance has grown increasingly complex. Traditional metrics like BLEU and ROUGE focus on superficial, string-based matching, often missing critical aspects like fluency, creativity, and relevance—qualities essential for tasks like text generation and question answering. Developers and researchers alike face the challenge of evaluating models in a way that truly reflects how well they perform in real-world scenarios. AutoArena addresses this challenge with a novel approach: head-to-head evaluations with Elo scoring and LLM judges. Instead of relying solely on static benchmarks, AutoArena compares models by directly pitting their outputs against one another, using LLM-based evaluators alongside human judgements. The results feed into an Elo-based ranking system, producing a dynamic, evolving leaderboard that shows which models excel at any specified task. In this blog post, we'll explain how head-to-head evaluations work, how Elo scoring is applied to create trustworthy rankings, and why AutoArena’s method is scientifically backed to deliver accurate, reliable results. 1. The Shortcomings of Traditional Evaluation Metrics For years, AI evaluation has relied on traditional metrics like BLEU, ROUGE, and perplexity. These metrics are useful for tasks like machine translation or summarization, where direct comparison between generated text and a reference text is feasible. However, they are fundamentally flawed for evaluating free-form, generative tasks like text generation, where there are multiple valid ways to answer a prompt or respond to a question. Why do these metrics fall short? String-based limitations: Metrics... --- > Setting up RAG systems is time-consuming. AutoArena simplifies this by automating head-to-head contests with LLM judges - Published: 2024-09-20 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/getting-started-with-autoarena-automated-model-testing-with-head-to-head-evaluation/ - Categories: Technical Evaluating language models, retrieval-augmented generation (RAG) setups, and different prompt configurations typically requires time-consuming manual efforts. AutoArena simplifies this by automating head-to-head contests with LLM judges, which quickly generates trustworthy evaluations and makes it easy to identify your best-performing system variations. In this tutorial, we’ll dive into the core steps for getting started with AutoArena. You'll install the tool, configure it for head-to-head evaluations, and use automated judges to rank models. Let's walk through it step-by-step. First, Why Head-to-Head Evaluation? Human-like judgment: Human preference is at the core of many AI applications, and head-to-head evaluation captures how humans would make subjective judgments. Applicable to ambiguous tasks: Many real-world tasks involve nuance and subjective interpretation, which head-to-head evaluations reflect better than static metrics. Ranking with confidence: Using methods like the Elo rating system, multiple head-to-head comparisons can generate global rankings for models. This offers more confidence than single-instance evaluations. AutoArena AutoArena is an open source tool that allows you to automatically stack rank different versions of your Gen AI system. This includes comparing models, adjusting prompts, or modifying the way you retrieve context from a RAG system. The app automates the head-to-head comparison of model outputs and feeds the results into an Elo score, which generates a global leaderboard showing which version of your system performs best. Automated, side-by-side comparison of model outputs has become a prevalent evaluation practice (arXiv:2402. 10524). AutoArena is built around this technique, making it easier than ever to set up and run comprehensive evaluations for your... --- > An Overview of Rad AI's Leap to Personalized Diagnostics with Kolena's Machine Learning Model Testing Suite - Published: 2024-03-12 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/revolutionizing-radiology-a-case-study/ - Categories: Technical "Kolena's testing suite has been a transformative tool for Rad AI, allowing us to optimize our model testing capabilities and evaluate the model performance with precision and granularity. This collaboration has not only improved our end-to-end machine learning pipelines significantly but also strengthened the confidence our customers have in our AI solutions. " Deniz Zorlu - Director of Machine Learning at Rad AI About Rad AI Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. Rad AI has raised $50+ million to date from venture funds such as Gradient (Google’s AI fund) and ARTIS. They've also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. Rad AI’s products: Rad AI Omni Reporting Ecosystem: Reporting employs advanced language models (LLMs/NLP), creating comprehensive and accurate reports with remarkable speed. Impressions automatically generates report impressions from dictated findings. The impression language is individually customized to each radiologist & practice. Worklist is an AI-enabled dynamic... --- > Unit testing at scenario levels for machine learning models involves testing the performance of an ML model in different real-world situations, as opposed to simply evaluating the model's performance on a fixed dataset. - Published: 2024-03-12 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/unit-testing-for-machine-learning/ - Categories: Technical In today's fast-paced world, the development of machine learning models is advancing at an unprecedented pace. These AI systems are increasingly integrated into critical areas of our lives, from healthcare to autonomous vehicles, making it vital that they are both accurate and trustworthy. To ensure the reliability and robustness of these models, unit testing for machine learning has become a crucial practice. What is unit testing for ML? Unit testing at scenario levels for machine learning models involves testing the performance of an ML model in different real-world situations, as opposed to simply evaluating the model's performance on a fixed dataset. Why is it important? Real-world Evaluation: Machine learning models are typically deployed in real-world environments where they encounter various scenarios and inputs. Testing at scenario levels allows you to assess how well your model performs in these realistic conditions, including edge cases and unexpected data. Robustness and Generalization: One of the key goals of machine learning is to build models that generalize well to unseen data. Scenario-level testing challenges the model with diverse scenarios, helping to evaluate its ability to make accurate predictions beyond the training data distribution. It identifies overfitting and underfitting issues that might not be evident in isolated unit tests. Compliance and Regulatory Requirements: In certain industries, such as healthcare or finance, regulatory authorities may require rigorous testing and validation of machine learning models. Scenario-level testing provides the documentation and evidence needed to demonstrate compliance with these regulations. User Experience and Trust: When deploying machine learning... --- > Learn five different methods to detect LLM hallucinations with 90% accuracy for closed-domain question answering. - Published: 2024-01-19 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/how-to-perform-hallucination-detection-for-llms/ - Categories: Technical Large language models (LLMs) are now commonplace in many situations, such as finishing a physics assignment for students, summarizing notes for doctors, taking an order at a drive thru, or generating code for engineers. When given a choice between a faulty chatbot and a perfect question-answering machine, everyone wants to use the best tool, which is the most truthful one. As such, LLM hallucination is now one of the hottest topics of AI research. When an LLM makes a mistake or even produces a lie, widely called a hallucination, the repercussions can be significant. In one dramatic case featuring Google’s LLM, called Bard, hallucinations cost the company more than $100 billion! Whether the cost is a person’s health or a company’s financials, discovering the hallucinations an LLM can produce is crucially important. Read more about what a hallucination is here: The Five Pillars of Trustworthy LLM Testing. From the perspective of a machine learning engineer at Kolena, this article shares different metrics that can be used to detect and measure LLM hallucinations at scale for question-answering workflows, for open-domain or closed-domain. The main difference between the two tasks is that closed-domain question answering incorporates retrieved context as supportive evidence for the answers, which is an optimal RAG (retrieval-augmented generation) model’s result. To demonstrate these metrics, we will use the question-answering data from TruthfulQA (open-domain) and HaluEval 2. 0 (closed-domain). By the end of this article, you will learn about five different methods to detect hallucinations with 90% accuracy for closed-domain... --- > Explore Kolena's expert predictions for AI in 2024, covering advancements in multimodal models, edge computing, AI security, and more. - Published: 2024-01-16 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/predicting-ai-developments-in-2024-insights-from-kolenas-experts/ - Categories: Company News As we venture into 2024, the field of Artificial Intelligence (AI) will continue to evolve at an unprecedented pace. Our AI experts Mark Chen, Gordon Hart, and Skip Everling offer a comprehensive outlook on what we might expect in the world of AI this year. Their insights provide a blend of technological advancements, environmental concerns, legal challenges, and shifts in public perception. Mark Chen, Machine Learning Engineer: Accelerated Growth and Environmental Impacts Chen emphasizes that machine learning (ML) shows no signs of slowing down. We are witnessing developments that are not only bigger, better, and faster but also carry significant environmental impacts. The increasing energy demands of larger models and the carbon footprint of AI are becoming critical considerations and will be a key topic in 2024. Robotics and GenAI in Animation Remarkable advancements in real-world robotics will continue in 2024, approaching the complexity of human sensory experiences and widespread automation across various industries. Additionally, the emergence of Generative AI (GenAI) for animation signifies a leap towards applications once deemed too futuristic. Security and Quantum Computing A unique angle from Chen concerns growing awareness around security issues, particularly in watermarking GenAI agents. The interplay between quantum computing and ML could also introduce new dynamics in AI security. Gordon Hart, Chief Product Officer: The Rise of Multi-Modality Expect more multi-modality. Although these have been around for a while, 2024 is the year the "large language model" is out and the "large multimodal model" is in. Models capable of integrating various data... --- > Kolena achieves an A-grade in RedSentry's penetration test, reinforcing its commitment to top-tier cybersecurity and customer data protection. - Published: 2023-11-29 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/the-crucial-role-of-penetration-testing-kolenas-a-grade-success-with-redsentry/ - Categories: Technical Kolena is committed to the highest standard for safeguarding sensitive information. Organizations, irrespective of their size, are constantly under the looming shadow of cyber threats. To fortify our defenses and ensure the robustness of our cybersecurity measures, we recently underwent a comprehensive penetration test conducted by RedSentry. We are delighted to announce that our company achieved an exemplary A-grade, affirming our commitment to data integrity and client trust. This serves as a tangible testament to our unwavering commitment to our customers’ data security and privacy. By undergoing and excelling in the penetration test, our customers can be assured that their data is held to the highest standards of security, surpassing industry benchmarks. Choosing Kolena means choosing a partner committed to the continual enhancement of cybersecurity protocols, ensuring that customer trust remains well-placed and fortified against the ever-evolving landscape of cyber threats. Penetration testing, often referred to as pen-testing, is a systematic simulation of potential cyberattacks on an organization's computer systems, networks, or web applications. The importance of penetration testing cannot be overstated, especially in an era where cyber threats are becoming increasingly sophisticated. Here are several reasons why organizations, Kolena included, prioritize penetration testing as an integral part of their cybersecurity strategy: Identifying Vulnerabilities: Penetration testing allows organizations to identify and address vulnerabilities in their systems proactively. By simulating real-world cyber threats, businesses can stay one step ahead and patch potential weaknesses before they are exploited by malicious actors. Risk Mitigation: Understanding potential risks is crucial for effective risk management.... --- > From the perspective of a machine learning engineer at Kolena, this article is a continuation in a series of discussions highlighting a testing paradigm for LLMs, identifying the failure modes of LLMs at a high level. - Published: 2023-11-23 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/the-five-pillars-of-trustworthy-llm-testing/ - Categories: Technical Large language models (LLMs) have made their way into the hands of workers in various industries, the minds of tech company leaders, and the hearts of students in every learning environment. But with great power, and an even greater number of model parameters, comes great responsibility. Now, the growing concern among companies, professionals, and even students is knowing when and where an LLM fails. From the perspective of a machine learning engineer at Kolena, this article is a continuation in a series of discussions highlighting a testing paradigm for LLMs, identifying the failure modes of LLMs at a high level. What makes an LLM untrustworthy? Suppose an LLM receives a doctor’s long and detailed notes about a patient to help recommend a suitable medication. However, if the LLM fails to recognize the patient’s allergies, an incorrect output from the LLM could lead to life-threatening consequences. When an LLM makes a mistake or even produces a lie, widely called a hallucination, the repercussions can be significant. In one dramatic case featuring Google’s LLM Bard, hallucinations cost the company more than $100 billion! Whether the cost is a person’s health or a company’s financials, discovering the hallucinations an LLM can produce is crucially important. So what is a trustworthy LLM? Under different usage scenarios, users define trustworthiness differently–for example, judges would require minimized bias, writers want maximized generation quality. The diagrams below depict the significance in understanding how LLMs behave. For certain user groups and general applications, baseline GPT models could be... --- > Kolena’s new feature lets ML teams add metadata to datasets for better filtering, edge case detection, and automation. - Published: 2023-10-20 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/new-feature-alert-add-metadata-to-your-data/ - Categories: Company News We just rolled out a new feature to allow machine learning teams to “add metadata”! Machine learning teams often face the struggle of manually diving through hundreds of thousands to millions of data points with a large portion of that testing data being unlabeled without metadata. Our new feature allows users to quickly filter through data, find new edge cases, and add metadata to existing data in a seamless and automated fashion. Watch and see! https://youtu. be/N9SWc3Xm12M --- > Kolena CEO Mohamed Elgendy outlines the urgent need for rigorous AI testing and quality assurance to build trust in the AI ecosystem. - Published: 2023-10-09 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/letter-from-the-ceo-the-path-to-trustworthy-ai/ - Categories: Company News Marc Andreesen recently wrote that AI will save the world. Only time will tell whether he’s right, but there’s one thing we already know for sure: AI can’t save the world until we can trust it. We hear almost daily about the real-world impacts of AI that isn’t fully trustworthy. Hallucinations creating cybersecurity risks within companies’ own tech stacks or exposing valuable data. Lawsuits alleging mistaken arrests due to biased AI facial recognition systems. Self-driving cars failing to recognize pedestrians or emergency vehicles. These impacts are also being felt within organizations that are commercializing AI products. When the product or sales team makes promises that the engineering team’s AI model can’t keep, customer trust is lost and the company’s own cohesion is jeopardized. So how can we plot a path toward AI that we as a society can rely upon? In simple terms, we need to invert the old Cold War maxim: We need to verify before we can trust. The Current State of Trust in AI AI today stands where software was decades ago: a tool whose potential has yet to be fully understood, and which needs to prove itself to the communities of builders, buyers and regulators it impacts. Just as no single person or group was responsible for getting software over the threshold of trust to achieve its present ubiquity, it will take a worldwide movement toward AI testing and quality to create trustworthy AI. This movement is already underway. Before we get to that, though, let’s... --- > Kolena expands its machine learning testing platform to support tabular and audio data - Published: 2023-10-03 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/now-supporting-tabular-and-audio-data/ - Categories: Company News In the ever-evolving landscape of machine learning, staying at the forefront of innovation is paramount. Today, we are thrilled to announce a significant expansion of Kolena; building on our commitment to empowering data scientists and ML engineers, we are excited to introduce support for tabular and audio data (and continued support of computer vision and NLP data), opening up new horizons for testing and debugging machine learning models. Kolena was born from a project our co-founders, Mohamed Elgendy, Andrew Shi and Gordon Hart had worked on at a previous company. A machine learning model with 99% accuracy in a customer demo was presented, only to be met with an embarrassing missed detection of an obvious object. The fallout was irreparable due to lost trust with the customer, and therefore, business. At the same time, though, the experience opened their eyes to a glaring pain point in the way AI / ML models are developed and selected for production. After additional research, it was learned that another version of our model with 96. 3% accuracy actually performed better at critical subclasses (including the scenario in which the other model failed). Had they presented the 96. 3% model, that customer trust would not have been broken. They realized then that traditional model testing frameworks don’t provide the level of granularity that the industry desperately needs to validate the performance of AI / ML products with confidence. Kolena’s goal then and now is to bridge the gap in ML tooling and solve one... --- > Kolena sponsors the AI & Big Data Expo in Santa Clara, showcasing AI agent solutions among 250+ exhibitors and 6,000+ attendees. - Published: 2023-05-11 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/kolena-ai-big-data-expo/ - Categories: Company News AI & Big Data Expo is returning to California Kolena is thrilled to be sponsoring the AI & Big Data Expo at the Santa Clara Convention Center on May 17-18 2023! The event brings together industry-leading technology companies, giving attendees the opportunity to discover the newest applications of AI technology. With over 6,000 AI enthusiasts expected, the event is sure to be one of the largest Artificial Intelligence expos in the world. The expo features an exhibition hall filled with showcases of the latest AI innovations, as well as a fascinating schedule of presentations, keynotes, and panel discussions. Attendees will have the opportunity to discover what the leading Al companies have to offer and learn more about the current state of the industry and where it is going in the future. Previous editions of the event were attended by the representatives of such companies as: UPS, JP Morgan Chase, Amazon, Google, Netflix, Ford, Walmart, Linkedin, Salesforce and Strava, just to mention a few! Additionally, a VIP networking party will be held on the evening of the first day of the event, giving speakers, exhibitors, press and holders of gold passes an opportunity to network in an informal setting. "This is an event where professionals in the Al world come to network, discuss the latest innovations, and explore new ideas and opportunities," said Lia Richards, the Head of Conference at TechEx. "We are excited to welcome over 200 speakers and 250 exhibitors to Santa Clara Convention Center – the expo has... --- > Kolena partners with AI Accelerator Institute for the 2023 AI Accelerator and Computer Vision Summits in San Jose - Published: 2023-04-03 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/kolena-partners-with-ai-accelerator-institute/ - Categories: Company News AI Accelerator Summit & Computer Vision Summit San Jose Press Release We are excited to announce Kolena's team up with AI Accelerator Institute for their upcoming AI Accelerator Summit & Computer Vision Summit in San Jose on April 26-27, 2023. AI Accelerator Institute’s mission is to help develop the next generation of machine intelligence specifically focusing on accelerating AI at the edge. For new and groundbreaking start-ups, they want to inspire and inform your journey, and for those giants in the space, they want to provide the tools you need to innovate and continue to propel your growth. The purpose of their summits are to ensure attendees leave the event with an understanding of new areas of cutting-edge innovation, having made connections with industry leaders that can support their systems, new ways of applying technologies to help drive business value and a sense of community. Here are some testimonial from previous summits: “I really enjoyed this event because this brings together all the industrial leaders and different applications of computer vision back into this forum. It’s very informative and I learnt a lot. I’m looking forward to next year. ” - Xiang Ma, Head of AI/ML R&D Technology Innovation, Amazon “It’s been very good. It’s been really relaxed. People have been very honest, talked about some of the challenges that we face in the industry. We talked about some new ideas about how we’re going to solve some of those problems. It’s been a very clear focus on some particular... --- > Kolena's Head of Product gives a talk on why systematic unit testing is important and how to effectively test ML system behavior. - Published: 2023-01-19 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/test-centric-ml-model-development/ - Categories: Technical Current ML model evaluation techniques are falling short. Model evaluation using only global metrics like accuracy or F1 score produces a low-resolution picture of model performance and fails to describe performance across types of cases, attributes, and scenarios. It is rapidly becoming vital for production ML teams to have a full understanding of when and how their models fail and to track these behaviors across different model versions to be able to identify regressions. We’ve seen great results from teams implementing unit and functional testing techniques in their model testing. In this talk from PyData's March 2022 Meetup, Kolena's Head of Product, Gordon Hart, will cover why systematic unit testing is important and how to effectively test ML system behavior. https://youtu. be/q1VMYqzUytY About Kolena Kolena is the MLOps platform for robust, end-to-end ML model testing. Built for all internal teams, see how we can help you ship your ML models with confidence. Want to learn more? Head to our schedule a demo page to see how we can help. --- > Build robust ML model testing infrastructure. Learn best practices to ensure reliable and systematic machine learning workflows. - Published: 2023-01-19 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/infrastructure-for-rigorous-ml-model-testing/ - Categories: Technical Kolena attended the Computer Vision Summit in Boston, MA on October 20, 2022. Our CEO, Mohamed Elgendy, took to the stage to share secrets on how to build model testing infrastructure to support rigorous and systematic model testing as well as how to implement unit and regression testing to your models. Check out the 20 minute talk on YouTube below! https://youtu. be/Ey4gcfbSrcc About Kolena Kolena is the MLOps platform for robust, end-to-end ML model testing. Built for all internal teams, see how we can help you ship your ML models with confidence. Want to learn more? Head to our schedule a demo page to see how we can help. --- > Kolena achieves SOC 2 Type 1 certification, reinforcing its commitment to secure, reliable AI agent solutions. - Published: 2022-07-06 - Modified: 2025-06-06 - URL: https://www.kolena.com/blog/kolena-achieves-soc-2-certification/ - Categories: Company News At Kolena, we're dedicated to building a platform for end-to-end ML model testing and allowing ML teams to ship their models with confidence. The security of our customers' data has always been important to us. Our systems, controls, and processes have been designed with security, availability, and confidentiality as critical design points. Today, we are proud to announce that we have achieved SOC 2 Type 1 certification. While we've always had robust systems in place ensuring the security of our customers' data, the SOC 2 audit is a way of having the proof on paper too. Having our systems and processes audited by a third party means we can provide you the highest standard of data security and assurance that your data remains secure. To request a copy of Kolena's SOC 2 report, please email security@kolena. io. --- > Discover how to foster a machine learning culture of quality ensuring reliable AI outcomes in real-world applications. - Published: 2022-01-18 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/creating-a-machine-learning-culture-of-quality/ - Categories: Technical It might seem hard to believe, but not so long ago, continuous integration was new and novel. Software engineering as a field wasn’t birthed with the best practices we now consider to be common sense today, these practices were accrued over time as hard-earned lessons on how to build reliable systems and teams. Machine learning (ML) is currently undergoing the same evolution, moving out of the research lab and becoming a common engineering discipline in its own right. But more so than any specific single tool or practice, investing in a culture of quality is crucial to successfully developing ML models that users and businesses alike can rely on. What is a “culture of quality? ” You’ve probably heard the phrase “culture of code quality” before. It typically manifests as things like code review, standardized formatting, automated builds and testing, comprehensive test coverage, five whys, and more. All of these processes represent short-term barriers to forward progress that in the long run contribute to healthier, faster, and more effective software development teams. ML’s processes are different, but the underlying principle is the same: a culture of quality is an organization-level ethos of waiting to eat the marshmallow. Taking the time to set up processes with compounding returns differentiates engineering from prototyping and enables ML teams to build successful products. Quality models are produced iteratively by a culture that values quality—not through a heroic one-time effort, a groundbreaking new architecture, or from a perfect training or test set. Looking to foster... --- > Why systematic unit testing is important and how to effectively test ML system behavior. - Published: 2021-09-13 - Modified: 2025-06-16 - URL: https://www.kolena.com/blog/best-practices-for-ml-model-testing/ - Categories: Technical Machine learning engineers and data scientists spend most of their time testing and validating their models’ performance. But as machine learning products become more integral to our daily lives, the importance of rigorously testing model behavior will only increase. It is rapidly becoming vital for ML teams to have a full understanding of when and how their models fail and to track these cases across different model versions to be able to identify regression. The consequences of deploying models without fully understanding their strengths and weaknesses could even have life-threatening implications in some applications. At Kolena, we believe current ML evaluation techniques are falling short in their attempts to describe the full picture of model performance. Evaluating ML models by only using a single metric (like accuracy or F1 score), for example, produces a low-resolution picture of a model’s performance. “Overall statistics don’t provide information on the distribution of failures across types of cases, attributes, scenarios. Even when upgrades show higher overall accuracy, surprising shifts can occur in the distribution of errors, including new ones. ” - Eric Horvitz, Chief Scientific Officer at Microsoft We’ve seen great results from teams implementing unit and functional testing techniques in their model testing. In this post, we’ll cover why systematic unit testing is important and how to effectively test ML system behavior. The Importance of Systematic ML Unit Testing A recent discovery on Twitter’s racially biased cropping algorithm is a good example of the importance of systematic ML unit testing. When you upload... --- ---