Property managers

AI for property management: log repairs and answer tenants after hours

AI that logs repairs, answers tenants after hours and books showings.

Property managers spend their evenings sorting tenant messages, including the ones that could wait until morning. We build the AI that takes the first message, logs the repair with the details a contractor needs, books showings into your calendar and drafts owner updates. Anything that can't wait goes to a person on call.

AI we build here

Maintenance request intakeAfter-hours tenant inquiriesShowing schedulingOwner reportsEmergency escalation

Where teams like yours are stuck

  • Every tenant message lands on one phone, routine or urgent
  • Repair requests arrive without the address, photos or access times
  • Showings take a string of texts to arrange
  • Owner updates get written late at night from scattered notes

Use cases we ship

Maintenance request intake

Tenants report a repair by text, email or web form. The assistant asks for the address, photos and access times, logs the job and sends it to the contractor you named for that kind of work.

After-hours tenant inquiries

Questions about rent due dates, trash pickup, parking or the heat get an answer at any hour. Gas smells, leaks and no heat in winter go straight to the person on call.

Showing scheduling

Prospective tenants pick a showing slot from your calendar by text or web chat, get a reminder the day before, and can rebook without calling the office.

Owner reports

Each month the assistant drafts an update per owner from the repairs and showings it logged. You check it and send it.

We scope the build with you, ship it to production and hand it over working. That goes for a new project or one that stalled.

How it plays out

Tenants message when something breaks, and things break at eleven at night and on Sunday mornings. A dripping faucet and water coming through the ceiling arrive on the same phone, written the same way, so whoever is on duty reads every one. We wrote about what that does to a property manager's evening.

We build the assistant that takes the first message. It answers routine questions from your house rules and lease details. When something needs fixing, it asks for the address, photos and access times, logs the job and sends it to your contractor. Gas, floods and no heat in winter go straight to the person on call. Calls can work the same way, with an AI receptionist answering the office line after hours instead of voicemail.

The same records feed the other two jobs. Prospective tenants book a showing slot from your calendar by text and get a reminder the day before. At month end the assistant drafts an update for each owner from the repairs and showings it logged, and you read it before it goes out. If most of your tenant traffic comes by email rather than phone, start with an AI employee working your inbox.

Before

Every tenant message goes to one phone. Repair requests arrive without the address or photos, so each one starts with a round of questions. Showings take several texts to arrange, and owner reports get written late from scattered notes.

After

The assistant answers routine tenant questions at any hour, logs each repair with what the contractor needs, and calls you only for real emergencies. Showings land in your calendar, and owner reports arrive as drafts to check.

Questions owners ask

Who decides what counts as an emergency?

You do. We write the escalation rules with you before launch, for example gas, water leaks, no heat or a lockout. Anything on that list goes straight to the person on call, and so does anything the assistant isn't sure about.

Does it work with our property management software?

If your software lets other tools create jobs or read lease details, we connect to it. If it doesn't, the assistant logs requests in a shared inbox or sheet your team already checks. We confirm which one applies before we build.

Let's get your AI shipping

Book a call and we'll scope the first use case worth building. Or take the free AI-readiness audit to see where to start.

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