AI operations for residential property managers
Answer tenant calls at any hour, turn maintenance requests into work orders, send rent reminders, book viewings of vacant units and draft the monthly owner report. Your property managers keep lease decisions, deposits, disputes and every applicant decision.
Each price below is the starting price for one system. Emergency rules, the vendor list and spend limits are yours, written down before launch.
- Tenant calls
- AI receptionist
- Tenant messages
- support agent
- Work orders
- data hub
- Rent reminders and viewings
- onboarding
- Owner reports
- reporting
The page connects current AIGROW offers. It does not assume that every team needs the complete stack.
A residential property manager can hand AI agents the routine work: answering tenant calls and messages, triaging maintenance requests into work orders, sending rent reminders, booking viewings and drafting owner reports. AIGROW builds each system at a published starting price and can run it as an AI Operations function. Leases, deposits and disputes stay with your staff.
5 systems, each with its own scope
The prices below come from the current offer pages. They are starting prices for individual systems, not a quote for the complete workflow.
A week of tenant queues, each with its owner
Hypothetical workflow. It shows how the five published systems could support a residential property manager. It is not a client deployment or a claim about results.
Match the bottleneck to the smallest useful system
A workflow belongs in scope only when its inputs, rules, owner and acceptance check can be written down.
Before automating Property management work
Scope boundaries, current tools, human approval and how to start with one system.
Start with the maintenance calls.
Book the AI Audit to see which tenant and owner work agents can take, or describe the workflow now. AI Operations can then run what is built, with your property managers on every exception.
Starting prices shown · written scope · human controls named