CUSTOMER STORY - PRIVATE LENDING
Four to five hours, or forty-five minutes?
How Longhorn Investments put AI into DSCR loan underwriting, taking a four to five hour file review down to about forty-five minutes, without handing AI a single credit decision.
“AI amplifies our ability to make judgment calls. It doesn't make the judgment calls for us.”
Jeremiah Garza
Chief Operating Officer
Longhorn Investments
HOW IT WORKS
Why Jeremiah's result isn't unique
By giving manual tasks to AI
Tailored for Your Workflows
Kolena AI adapts to the document-heavy processes in your sector, delivering specialized solutions for maximum efficiency.
For underwriting teams
Documents in: bank statements, credit reports, appraisals, flood certificates, title commitments (10 to 30 per file).
What you get: the file assembled and checked against your DSCR and non-QM guidelines in about 45 minutes, exceptions flagged, every field cited to its source. The underwriter makes the credit call.
For appraisal and processing
Documents in: appraisal reports.
What you get: an appraisal agent that reviews, flags issues, and routes the file to the underwriter on its own while copying the processor. Review time drops from 45 to 60 minutes to 15 to 20.
For leasing and resident experience
Documents in: inbound loan files on portfolio and third-party acquisitions.
What you get: diligence run against each investor's guideline at volume, discrepancy reports, and audit-ready output built for the review the deal actually has to pass.
Two ways to see Kolena run
Find the AI agent for your use case
Request a trial
How The Trial Works
20-minute setup call
We learn your loan products, your document types, and your underwriting guidelines. Not a sales pitch.
Trial configured to your guidelines
Agents tuned to your DSCR and non-QM rubric and your document mix before you log in.
2 weeks on your real documents
Run it on the same loan packages your team underwrites by hand today.
Request Your Free Trial
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A member of our team will reach out within one business day. Kolena does not train on customer data.
