Picture an agency with thirty negotiators. Enquiries pour in from portals, ads and chat, but many wait until the next morning. Leads get lost between negotiators. Buyers who aren't ready yet are simply forgotten. Viewings get booked and don't happen. And good negotiators leave, because they spend their days chasing cold leads.
The steps, and why they matter
Listen, and check the rules (Built within the rules)
Teach the AI every listing (AI that knows every listing)
Every enquiry answered in minutes (No buyer left waiting)
The right lead to the right negotiator (Leads that don't get lost)
Found by buyers who are searching (Found by serious buyers)
Keep buyers and landlords warm (Buyers who stay warm)
Negotiators who stay
A partner network (A network that sends clients).
Where people stay in control
Loan and legal questions go to a person. Buyers and landlords opt in to updates; partner introductions require consent. No investment promises are made.
Start with one outlet, clinic, team or delivery route. Train the team, measure and adjust before extending the approach. The video’s end state illustrates a direction, rather than reporting achieved results.
Read the full video transcript
A buyer enquires about three listings at eleven at night. By morning, two other agencies have already called them. In property, the first to call back usually wins. Here's how AI can turn an agency around, step by step. Picture an agency with thirty negotiators. Enquiries pour in from portals, ads and chat, but many wait until the next morning. Leads get lost between negotiators. Buyers who aren't ready yet are simply forgotten. Viewings get booked and don't happen. And good negotiators leave, because they spend their days chasing cold leads. First, listening. Where do enquiries come from? How long until someone replies? How many viewings actually happen? Then the awkward cases: buying or renting, own-stay or investment, an overseas buyer, a landlord rather than a buyer. And the rules: in many markets, property ads must show licence details, some need a permit before they run, and nobody should promise investment returns. Then the AI learns the agency: every listing, its size and features, its viewing rules, what each area is like, and which negotiator covers which area. So when a buyer asks, it actually knows the answer. Now every call and chat is answered in minutes, day or night, in English, Malay or Mandarin. The AI asks the questions a good negotiator would: buying or renting, which area, when they hope to move. Then it books a viewing straight into the right calendar. Questions about loans or legal matters go to a person. Next, routing. Each lead goes to the negotiator who fits: the right area, the right language, the right specialty. And it's shared fairly, so nobody hoards leads and nobody starves. The agency can finally see how fast every lead is followed up. Buyers research before they ever call. So the agency's website becomes useful: honest area guides, clear listing pages with viewings bookable online, written so Google and AI search tools understand them. And every listing stays in step with the portals. Most buyers aren't ready on day one. So instead of being forgotten, they stay warm, with only what's useful: a message when a matching listing appears, a reminder before a viewing, a "how was it?" afterwards, a short monthly update on their area, an invitation to a new launch. Landlords get a nudge before a tenancy ends. Nothing random, all opted in. And the negotiators? Instead of cold lists, they get qualified viewings. Confirmations and feedback-chasing happen automatically. The agency sees which questions buyers ask most, and trains around them. When negotiators spend their time closing rather than chasing, they earn more, and they stay. Buying a home involves more than the agency. So the agency builds a trusted partner network: bankers, lawyers, movers, interior designers. Clients are introduced only when they ask, with their consent. And partners refer clients back, tracked properly. One team goes first. Everything is measured and adjusted before the rest of the agency follows. So here's the end of the turnaround. Faster responses, and more viewings booked. More deals closed. Buyers who stay warm until they're ready. Fewer missed viewings. Listings that serious buyers find. And negotiators who want to stay. In property, the first to call back usually wins, and AI makes sure that's you. Not by replacing your negotiators, but by giving them better leads and more time to close. If you're wondering what this could look like in your agency, I'm always happy to talk it through on LinkedIn.
