Lease abstraction cuts acquisition onboarding from 3 weeks to 4 days

On a value-add acquisition the new property manager inherits ~250 active leases. Each lease has rent, escalation, renewal options, deposit, pet rules, parking, addenda — manually re-keyed into AppFolio over 2–3 weeks. Re-key errors directly cost revenue.

What we built

• Lease classifier: residential / commercial / addendum / military clause / amendment.
• Custom blueprint extracting tenant name, unit, rent, lease start/end, escalation rules, deposit, pet rules, parking, renewal options.
• Special handling for hand-corrected leases (Wite-Out, margin notes, initialled changes): these route to higher-confidence-threshold HITL automatically.
• Writeback into AppFolio with a side-by-side preview for the leasing agent to confirm before posting.
• Quarterly accuracy audit against a random 50-lease sample to keep the blueprint tuned.

Caveats

Florida-specific HOA and post-Surfside multifamily record-handling requirements needed custom blueprint adjustments. Hand-corrected lease accuracy stays under 80% no matter how much we tune; the value is in the confidence routing, not in pretending we got it to 99%. One property manager preferred to keep doing leases manually because he didn’t trust the agent on his portfolio — we let him; the rest of the firm uses the system.

Stack. AWS Bedrock Data Automation with lease blueprint · Amazon Textract for scanned/photographed leases · AppFolio API writeback · Amazon A2I for HITL.

Time per acquisition to onboard ~250 leases into AppFolio fell from ~3 weeks of leasing-agent time to ~4 days. 99% accuracy on system-generated leases. Caught one rent-escalation date error worth ~$3,400 — paid for the first month of retainer.