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Property

AI Agents for Real Estate and Property

AI agents for property businesses — qualify buyer and seller leads, answer listing questions instantly, and book viewings without playing phone tag.

Where the time goes

What real estate lose to the phone and the inbox

Portal leads go stale in minutes

A property enquiry from a portal is competing with every other agent that buyer contacted in the same session. Response speed decides who gets the viewing.

Most enquiries are not ready to transact

Browsers, neighbours checking valuations, and buyers without finance in place all look identical in the inbox until someone spends twenty minutes on the phone.

The same listing questions, repeatedly

Service charge, lease length, parking, chain status, square footage, school catchment — asked by every enquiry on the same property.

Viewing coordination eats the day

Matching a buyer, a vendor and an agent into one slot takes several messages, and it happens for every viewing.

What we build

AI agent solutions for real estate

A typical engagement uses two or three of these together. Which ones depend on where your enquiries arrive and what your team is already stretched by.

Instant response on every portal enquiry

New enquiries get a substantive reply within seconds on WhatsApp or email, while the buyer is still looking at listings.

Buyer qualification

Budget range, finance status, cash or mortgage, chain position, timeframe and area preferences — captured before an agent invests time.

Seller and valuation lead handling

Valuation enquiries are separated from buyer enquiries and qualified on property type, motivation and timeframe before a valuation appointment is booked.

Listing-specific answers

The agent answers questions from the actual listing data you supply, so it does not guess at a service charge or a lease length.

Viewing booking

Viewings are proposed against agent availability and vendor access rules, then confirmed to all parties.

Nurture over months, not days

Buyers who are not ready yet stay in a scheduled follow-up sequence and are re-engaged when matching stock comes to market.

Example workflow

Buyer qualification from a portal enquiry

An illustrative scenario showing how the pieces fit together. It is an example, not a client case study — no real engagement or result is being described.

Trigger

A portal enquiry arrives at 10:20pm on a three-bedroom listing.

  1. The agent replies by WhatsApp within seconds, referencing the specific property.

  2. It answers the buyer’s question about the lease length using the listing data supplied.

  3. It establishes budget range, whether a mortgage is agreed in principle, and whether they have a property to sell.

  4. The buyer is chain-free with finance agreed, which meets your priority criteria.

  5. The agent offers two viewing slots that match the vendor access rules for that property.

  6. The viewing is confirmed and the qualified buyer record is passed to the listing agent.

Outcome

A late-night enquiry becomes a confirmed viewing with a qualified, chain-free buyer before any competing agent opens their inbox.

Sample conversation

How the agent handles a typical enquiry

A scripted illustration. It is not connected to a live model, calendar or business system.

Customer

Is the flat on Mall Road still available? And what is the service charge?

AI agent

Yes, it is still available. The service charge on that apartment is listed at PKR 18,000 per quarter, and the lease has 94 years remaining. Are you looking to view it this week?

Customer

Possibly. I am still comparing a few places.

AI agent

Understood. So I can flag anything similar as it comes up — is this purchase cash, or would it be with a mortgage? And do you have a property to sell first?

Customer

Mortgage, already approved. Nothing to sell.

AI agent

That puts you in a strong position. I have viewings on Thursday at 5pm and Saturday at 11am. Shall I book one and send you two similar listings in the same area?

Questions

Real Estate: what people ask

Sector-specific questions. General questions about implementation are on the FAQ page.

Where does the agent get property details from?

From the listing data you provide, whether that is a feed from your CRM, a spreadsheet or a structured export. It answers from that data and says it will check rather than guessing when something is not in there.

Can it give a property valuation?

No. Valuation requires professional judgement and, in most markets, a regulated appraisal. The agent qualifies valuation enquiries and books the appointment for your valuer.

How does it handle multiple agents in one office?

Routing rules can assign by listing, territory, availability or round-robin. The qualified enquiry goes to the right person with the full conversation attached.

Will it keep messaging a buyer who has gone quiet?

For as long as your nurture sequence specifies, and no longer. Sequences stop on reply, on booking and on any opt-out.

Can it handle rental enquiries as well as sales?

Yes, though they are designed as separate flows. Rental qualification turns on affordability, move-in date, tenancy length and referencing, which are different questions from a purchase.

See all questions →

Discuss an AI agent for your real estate

Tell us how enquiries reach you today and what your team spends the most time repeating. We will map the workflow from there.