AI for property management that turns messages into jobs.
A property manager's day is a stream of messages: a leak, a viewing, a late payment, a lease to renew. We build AI for property managers that reads those messages on WhatsApp and e-mail, turns each one into a tracked job with an owner, answers tenants' routine questions, and reminds everyone before a deadline slips.
What we would build
- Requests
- Maintenance messages turned into tracked jobs
- Tenants
- Routine questions answered on WhatsApp
- Leasing
- Enquiries qualified, viewings booked
- Closest proof
- Follow-up for US real-estate brokers, our own work tracker
What we have built that a property manager would use
We have not built for a property manager yet. We have built the pieces: lead follow-up for brokers, WhatsApp agents, and a system that turns messages into owned work.
- Brokers · United StatesActive
AI follow-up for real-estate and insurance brokers
For brokers in the United States — real-estate and insurance — we build the follow-up layer of the business: every lead and client conversation sorted, a reply drafted for the broker to approve, reminders at the right moment, and the CRM kept up to date from the conversation itself.
- Workplace · prototypePrototype
Room booking across three offices
A booking app for meeting rooms spread over three offices, built as a prototype in our own sandbox.
Every message, a job with an owner
Maintenance intake
A tenant sends a photo and a voice note on WhatsApp; the assistant asks the missing questions — which flat, since when, is it urgent — and opens a job for the right contractor or team member.
Jobs that close
Each job has an owner, a due date and a record of what was done — the way work items run in Takat OS, where nothing is closed without saying what changed.
Tenant questions
Bin days, parking, how to pay, who to call at night — answered from your own building information, in the tenant's language.
Leasing enquiries
Portal and website leads answered and qualified, viewings booked and confirmed — the follow-up engine we run for real-estate brokers.
Renewals and reminders
Lease ends, inspections, certificates and rent reminders sent at the right moment, with the wording you approved.
Owner reports
A plain summary per property — open jobs, costs approved, vacancies — drafted for the manager to send.
Start with maintenance
- 01
One number for requests
Tenants report on WhatsApp; nothing lives only in someone's phone.
- 02
Jobs with owners
Every request becomes a job with a due date, visible to the whole team.
- 03
Then tenants and leasing
Routine questions and new enquiries, once requests are under control.
Rules that apply to property AI
Tenancy law decides how notices, deposits and rent demands must be sent, and fair-housing and anti-discrimination rules apply to how applicants are screened. An assistant can answer, remind and log; legal notices and decisions about applicants stay with a person.
Emergencies — gas, fire, flooding — must always point to the emergency number first, whatever the assistant is doing.
Related
Frequently asked questions
How can property managers use AI?
To turn tenants' WhatsApp and e-mail messages into tracked maintenance jobs with an owner, answer routine questions from their own building information, qualify leasing enquiries and book viewings, and send renewal and inspection reminders on time.
Has Takat built for property managers?
Not yet. We run lead follow-up for real-estate brokers in the United States and WhatsApp agents in other industries, which are the building blocks of what we would build.
Can the AI screen tenants?
We do not build that. Decisions about applicants and legal notices stay with a person.
How many messages did you answer today?
Show us where they come from; we will show you where they could go.