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Real Estate — Reference architecture · designed by Techmode

WhatsApp AI Agent for Real Estate Enquiries

An AI agent that answers property enquiries on WhatsApp in seconds — qualifying the lead, sending matching listings and booking the viewing in the chat.

A reference architecture, not a client story. This describes a system we design and build — the problem it answers, how it is put together, and what it runs on. No client engagement stands behind this page, and we will not imply one.

It is a write-up, not something you can click. If you would rather use something than read about it, the whatsapp ai agent sandbox demo runs the same pattern in your browser.

WhatsApp AI Agent for Real Estate Enquiries illustration

The problem

Where it goes wrong

Property enquiries arrive at all hours, and an unanswered WhatsApp message at 11pm is a viewing that never gets booked. Where several agents are marketing the same listing, the speed of the first reply is most of what separates them — and nobody is at a desk overnight.

The solution

What we build

An AI agent on the official WhatsApp Business API greets every enquiry, asks budget, location and timeline, matches the caller against live listings, and books a viewing into the team's calendar. Anything it should not decide alone goes to a human agent with the whole conversation attached.

The stack

What it runs on.

WhatsApp Business APINext.jsSupabaseGoogle Calendar

What changes

What the build delivers.

Every enquiry answered in the chat it arrived in, at any hour, in the language it was sent in

Leads reach an agent already qualified by budget, area and timeline

Viewings booked inside the conversation and written straight to the team calendar

Design targets

What we build to.

Engineering targets for this build, not results measured for anyone. We have not shipped this for a client, so there is nothing to report.

A first reply under ten seconds, day or night

Listings matched against live inventory, so nothing is offered after it is let

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