Real estate work is document-heavy and operationally messy. A lease abstraction that misses a renewal clause, or a maintenance queue that sends the wrong vendor, costs time and money. The model has to read the actual document or ticket, and the system of record has to stay the one your team already uses.
What makes AI work different here
- The lease is the source. Dates, options, and obligations come from the document, with the passage kept. A summary that cannot point at the clause is not usable.
- Maintenance is a routing problem. Triage only helps if it lands in the work-order tool dispatchers already open.
- Property data is inconsistent. Names, units, and vendor lists differ across buildings. The pipeline has to tolerate that instead of assuming a clean schema.
- People still sign and still dispatch. Extraction and a suggested priority are not a signature and not a decision to send someone on site.
Where we typically start
We start from the document or the ticket, the system it has to land in, and the fields a person will check before anything is final. Lease abstraction and maintenance triage are both published, and they stay separate scopes.
Services we typically provide
Case studies from this industry
Frequently asked questions
Will this replace a lease review?
It shortens abstraction by pulling the fields and the clause they came from. A person still checks the result before it is relied on.
Can it dispatch a vendor by itself?
The published maintenance work sped up dispatch inside an existing platform. A person still owns sending someone to a building.
What if two buildings name the same unit differently?
We treat that as data preparation, not as a model failure to paper over. The pipeline maps the names you actually have.