Real estate

AI agents for real estate teams

Turn property questions, lead qualification, viewing requests, and follow-up into a controlled pipeline that agents can inspect and take over.

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Today

Where the time goes now

  • Leads arrive without qualification
  • Follow-up depends on manual reminders
  • Property context is scattered across channels

Agent workflow

Where AI assists, and where people stay in control

  1. 01

    Qualify intent, budget, location, timing, and property preferences.

  2. 02

    Summarise how ready each lead is before an agent replies.

  3. 03

    Hand buyers who are not ready yet to an agent, with a summary, so no follow-up is lost.

In practice

Control points

Where a person decides, approves or takes over.

  • Agents take over for negotiation
  • Answers only from your approved property information
  • Every conversation shows the channel it came from

What to measure

Track each one before and after rollout, so the work is judged by what changes.

  • How many leads arrive ready for an agent
  • How many leads get a follow-up
  • How many enquiries become viewings

Questions

How teams use this workflow

How can AI agents help real estate teams?

They can qualify property leads, capture budget and timing, summarise preferences, and hand each lead to an agent with the context.

Can humans stay involved in real estate negotiations?

Yes. Negotiation, pricing, and sensitive client decisions remain human-led while AI assists qualification and context gathering.