2 Real Estate AI Agents, Live in Production.

Real Estate AI Agents: Getting the Critical Dates Out of the Lease and Into a System

Property management runs on obligations buried in documents nobody rereads. A lease contains commercial terms, critical dates and recurring duties — a break option with a notice period, a rent review, a service charge cap, an obligation to redecorate before the term ends — and once the lease is signed, that information lives in a PDF. It gets abstracted into a spreadsheet at acquisition, imperfectly, by someone reading at speed, and thereafter the spreadsheet is the record. Missed break notices and unclaimed caps are the routine consequence, and they are expensive precisely because the deadline was knowable and written down.

The two agents here move that information into a form a system can act on, and both are built to be checkable rather than trusted. The abstraction agent quotes the clause each term came from, so the extraction can be verified against the lease instead of accepted — and it flags what a lease of this type should contain but does not, which is the finding a manual abstraction never produces because a reader cannot notice an absence. The tenant request agent sorts an inbound request against the management agreement rather than against a generic priority scale, sets the response target that agreement actually requires, and produces the work order alongside the reply.