ON DEMAND
From Appraisal to Loan Tape in Minutes with AI
How private lenders are using AI agents for citation-linked extraction, multi-investor compliance review, and offshore line displacement
Private lending operations are drowning in document work: 300–1,500 page loan files, manual extraction off shitty scans, multi-investor compliance review at 1.5–2 hours per file, and an offshore extraction line that runs $1M+ a year.
The bottleneck isn't underwriting judgment. It's the data work to get there.
What you’ll learn:
- How AI extracts data from appraisals (1004, 1073), title reports, credit reports, and bank statements — with citation links back to the source page
- How AI runs eligibility screens against every investor matrix you trade paper to — 120+ checks per guide, all six counterparties simultaneously, in ~20 minutes
- How structured loan-tape output flows directly into Snowflake, NetSuite, or your warehouse — no manual keying, no template forcing
- How the offshore extraction line item gets displaced — function replaced, team redeployed to higher-judgment work, accuracy improved at the same time
We'll demo a workflow that:
- Ingests real redacted loan documents (appraisals, investor underwriting guides, loan files) — PDF, scanned, photographed, mixed-quality
- Extracts and validates 146–186 fields per loan with page-level citations back to every source document
- Runs a single loan file against six investor matrices simultaneously — pass / soft-pass / hard-pass per investor with every flag traced to the matrix line
- Aggregates loan-level diligence at portfolio acquisition scale — replacing the per-file outsourced model that runs $150–$350 a file today
Why now
The lenders pulling ahead aren't smarter underwriters — they're moving loans through compliance faster. A non-QM private lender at ~170 closings a month is using AI to compress eligibility checks from 1.5–2 hours per file to ~20 minutes across every investor matrix simultaneously. Faster compliance means warehouse lines clear days sooner, and every day shaved off carry cost is gain-on-sale margin protected.
Conventional non-QM lenders like UWM and Guaranteed Rate are tripling business-purpose DSCR volume. Securitization shelves at Verus, Angel Oak, and Deephaven are oversubscribed. Document throughput is the constraint — and the originators investing in AI on the document layer are the ones with the capacity to catch the wave.
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Kolena reduced our UCC filing review labor by 96% and cut funding turnaround time from five days to just a few hours.
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VP of Operations · Milestone Bank
Kolena is transforming how we handle time-consuming workflows. Consolidating many processes into one automation has been a massive improvement. The Kolena team has been incredibly responsive and developed tools that help us meet our goals.
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Kolena has become a key part of our due diligence and investment memo process, helping us reduce manual effort and improve consistency across reports. Its customizable templates align with our standards and make outputs uniform with minimal edits.
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VP Due Diligence · SFA Partners
Kolena improves our compliance reviews by catching detailed regulatory issues critical for housing compliance. It validates complex forms, cross-references multiple documents, and gives us confidence that nothing slips through the cracks.
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Director of Compliance · EAH Housing