Case Study: Loss Run Analysis With AI
Transforming Insurance Risk Analysis With AI
A New AI-Powered Workflow for Risk Analysis and Loss Run Reports
Loss run analysis is a critical (and often painful) part of building a risk profile of insurance applicants to allow underwriters to identify potential risk management issues and forecast the likelihood of future claims.
This case study highlights how a mid-size insurance underwriting and risk advisory firm improved efficiency, accuracy, and scalability in its loss run analysis by using Kolena's AI-powered automation platform.
Key Takeaways:
- Average analysis time dropped from 2 hours to less than 10 minutes.
- Accuracy rate improved from 85% to 98%.
- Monthly analysis capacity increased from 25 clients to over 100 per month.
Kolena's Impact:
- AI eliminated repetitive manual steps, reducing manual processing time by over 90%.
- The firm can now process renewals and submissions concurrently without adding headcount.
- Uniform formatting and audit-ready output strengthened internal governance and compliance alignment.
- The automation positioned the firm to support new carrier relationships and larger client portfolios.
Download the case study to learn more and see how Kolena's AI-powered automation can free your team from time-intensive bottlenecks.