1 Tenant Services AI Agent, Live in Production.
1 live agent automates tenant services within real estate. It runs when a message arrives. It publishes the inputs it needs, the steps it works through and what it hands back.
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Tenant Request Triage
Sort an inbound tenant or resident request against the management agreement, set the response target, draft the reply, and produce the work order a facilities system would take.
Setting the response target the management agreement actually requires
Tenant request handling is governed by a document nobody consults in the moment. The management agreement sets response targets, often differing by request type and by whether the issue affects habitability or safety — and the person triaging an inbound request works from a generic sense of urgency instead, because looking it up takes longer than replying. So targets are met by accident, missed without anyone noticing, and reported on afterwards from a system that recorded a priority somebody assigned by feel. The second problem is duplication: the reply goes to the tenant, and then the same information is retyped into the facilities system as a work order, with the usual result that one of the two records is thinner than the other.
Tenant Request Triage sorts an inbound tenant or resident request against the management agreement, sets the response target, drafts the reply, and produces the work order a facilities system would take. Sorting against the agreement rather than against a general scale is what makes the target contractual rather than notional. Producing the work order alongside the reply removes the re-entry step and keeps the two records identical. One agent covers this process. The reply is a draft — a tenant is being told what will happen and when, which is a commitment, and it belongs behind the same approval as every other outbound message in this catalogue.
What this moves
- Requests triaged against the actual agreement
- Priority and response target come from the management agreement rather than a generic scale, so a contractual obligation is met by design.
- Requests reaching a facilities system as a work order
- The work order is produced alongside the reply, so the request does not need re-entering by hand into a second system.
Real Estate
How AI agents handle tenant services
Drawn from the 1 agent above — what they require, how they run, and what comes back.
What they need
- Inbound tenant request
What comes back
- Classification
- Assessment
- Risks and obligations
- Draft reply
- Service standards applied
- Work order
How they run
- Triggered by an incoming message
- 1
- Steps per run
- 5
- Credits per run
- 4
- Use a knowledge base
- 1
Where tenant services fits in real estate
Terms, dates and obligations are extracted from documents nobody reads end to end, so a question about a clause takes seconds instead of an afternoon.
Next Step
Deploying tenant services agents
These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.