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Curious Context Labs

Operations · Voice/chat agent

Tenant maintenance requests

AI tenant maintenance requests for property managers

Tenants report problems by phone, text or chat; each request is triaged for urgency, logged with photos and sent to the right contractor.

01 today

The problem

Property managers get maintenance requests through calls, texts and emails, often without the address, photos or access details. Urgent leaks sit in the same queue as dripping taps. Tenants call again to ask what is happening.

02 the run

What the AI does

  1. Step 1: Answers tenant calls, texts and chats at any hour and asks the questions a property manager would.
  2. Step 2: Collects the address, problem, photos and access times and logs a work order.
  3. Step 3: Sorts the request by urgency using your rules and gives the tenant safety steps for emergencies.
  4. Step 4: Sends the job to the right approved contractor with photos and tenant contact details.
  5. Step 5: Updates the tenant when the job is booked, and again when the contractor marks it done.

paused: waiting for a person to approve

03 human in the loop

Where a person approves

The property manager approves any job over the owner's spending limit and is phoned straight away for emergencies. Contractors are chosen only from your approved list.

04 after

What changes

Requests arrive complete and in the right order. Managers spend less time on the phone, and tenants know where their repair stands.

Results from a real build

[CASE STUDY] We only publish results we can name and check with the client.

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Tell us how your business runs. We'll tell you where AI fits.

A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.

Working with teams in the United States, United Kingdom and Australia.