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ERL / RUSBYTE
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Client Project2026

AI-RE

Gives real estate agencies their time back — AI handles listings, buyer enquiries, and scheduling while offers stay tracked and auditable.

AI-RE real estate platform interface

Problem

Australian agencies lose deals to response time. Buyer enquiries arrive at all hours, but agents answer them between inspections — so leads go cold. Meanwhile listing copy, inspection scheduling, competing offers, and contract documents are each tracked somewhere different, and the administrative load scales directly with the number of properties.

Solution

A single platform that absorbs the repetitive work. AI drafts listing copy and answers buyer enquiries around the clock, buyers book their own inspections, and every offer lands in one auditable ledger alongside the contract documents it belongs to.

Key Features

  • AI listing copywriter that turns a spec sheet into publishable description text, removing a recurring writing task from every new property
  • Round-the-clock conversational responder that answers property questions, pre-qualifies buyers, and books viewings — so enquiries arriving at midnight are handled before an agent opens their laptop
  • Geospatial suburb search with clustered listing maps, letting buyers explore by area rather than scrolling a list
  • Offer ledger recording every bid with automated status alerts, giving agents and buyers one authoritative record of where a negotiation stands
  • Self-service inspection scheduling for buyers to book, cancel, or reschedule without a phone call in either direction
  • Document vault with role-based restrictions, keeping contracts and buyer paperwork reachable only by the parties entitled to them

Challenges

  • Keeping the AI responder factually anchored to real property details and suburb guidelines. A confident hallucination about a property's specifics is worse than no response at all, so context was constrained deliberately over maximizing fluency.
  • Rendering clustered markers for active listings client-side without the map degrading as listing volume grew.
  • Enforcing offer confidentiality at the database layer — competing bidders share a negotiation state machine, and separation had to hold below the application logic, not within it.

Results

  • Delivered a platform in active use in the Australian market, shortening the path from listing to offer.
  • Cut manual agent response workload by over 80% through automated buyer pre-qualification and self-service scheduling.
  • Consolidated offers, inspection bookings, and client contracts into one auditable dashboard, replacing several disconnected tools.