Document & lease intelligence
Leases, inspection reports, and contracts hold answers nobody has time to dig for. Structuring that data properly is most of the work; the AI on top is the easy part.
The problem
Leases, inspection reports, and service contracts hold answers, but almost never in a form anyone can query. Finding out what a specific clause says across a portfolio of hundreds of leases usually means someone opening PDFs by hand.
How it works
Most of the actual work is structuring: getting documents into a form where a question like "which leases expire in the next 18 months" has a real answer instead of a research project. The AI layer on top — extraction and search — is genuinely the easy part once that's done.
The closest work I've done in this space is the property-data cleanup at Ons Doel: structuring records so people could trust them again, though that project was about data fields, not lease documents specifically. I'd treat this track as adjacent territory rather than fully proven.
Where this stands today
No dedicated case study yet. The closest proof I can point to is the Ons Doel data-cleanup work, which is adjacent but not lease-specific.
Sound close to your actual problem?
Book 20 minutes, no pitch deck