From Appraisal to Loan Tape in Minutes with AI

What AI agents actually do to the document layer of private lending — three workflows demoed live on real, redacted loan files, with citation-linked output. Most private lenders process loan files 300 to 1,500 pages each. Manual appraisal extraction. Multi-investor loan onboarding at 90 minutes to 2 hours per file, per investor. Loan tape population by hand. Most of that work sits on an offshore extraction line that runs $1M+ per year — and with offshore wages climbing 8 to 12 percent annually, the arbitrage that justified routing this work offshore is shrinking. In this 30-minute session, Pedram runs three workflows live: ▶︎ Appraisal extraction — a 189-page appraisal moves through the agent in about 60 seconds. Every field citation-linked back to the source page, with a clickable beacon that highlights the exact location in the source PDF. Multi-file parallel processing, no template forcing — Pedram drag-and-drops new appraisals during the demo and the agent picks them up. ▶︎ Loan tape population — extracted appraisal data flows directly into the customer's own Excel loan tape template. Your fields, your format. No re-keying, no Kolena schema forced on you. ▶︎ Multi-investor loan onboarding — a 300-to-400-page DSCR loan package run against a 113-item underwriting checklist plus the full DSCR guideline. About 5 minutes per loan, per investor. Pass/fail per check, evidence snippet per row, executive summary auto-generated. Anonymized customer data shows about 17 minutes across all six investor matrices simultaneously, versus 90 minutes to 2 hours per file, per investor in spreadsheets manually. Anonymized real results from a live engagement with a mid-market non-QM private lender at ~170 closings per month: • 5,000-plus appraisal backlog cleared in weeks, not quarters • Multi-investor loan onboarding compressed 5x-plus — ~17 minutes across six matrices vs. 90 minutes to 2 hours per file, per investor manually • Portfolio acquisition due diligence moves from $150–$350 per file outsourced (~$225K–$450K per 900-loan tranche) to internal infrastructure cost, batch-processed in days instead of weeks • Conservative ROI math: ~$22,950 per month saved on multi-investor onboarding labor alone — before counting appraisal extraction, loan tape population, or third-party diligence displacement Cost displaced. Accuracy improved. Twin pillar. ━━━━━━━━━━━━━━━━━━━━ Website: https://www.kolena.com/ Linkedin:   / kolena-ai   X: https://X.com/kolenaIO YouTube:    / @kolenaai