Concept buildA worked example of our methodology, not a client engagement.
AI Sales Agent for Real Estate
A concept build for an AI sales agent that qualifies property leads over WhatsApp and website chat around the clock — asking budget, location, and timeline, scoring intent, and booking viewings for qualified prospects — so human agents spend their day with buyers who are actually ready.
A typical mid-size real estate agency has its best people spending most of their time on leads who were never going to transact. Inquiries arrive around the clock through the website, WhatsApp, and phone, with no consistent qualification before an agent gets pulled in. By the time someone replies to a serious buyer, hours or days have passed — and in property, speed to first response often decides who gets the viewing.
How we build it.
We work with the agency to turn its informal good-lead instincts into an explicit rubric: budget range, target locations, financing status, purchase timeline, and intent signals. That rubric becomes both the conversation script and the scoring model — the AI qualifies leads the way the best agent would, every single time.
We build the agent on the channels leads already use — WhatsApp Business and website chat — engaging within seconds of an inquiry. It asks qualifying questions naturally across a multi-turn conversation, answers listing questions from the agency’s inventory data, and adapts follow-ups to what the lead says instead of marching through a fixed form.
Every conversation writes a scored, structured lead record into the agency’s CRM. Hot leads route straight to the matching agent by area and price band, warm leads enter nurture sequences, and casual browsers are politely parked without consuming agent time.
Qualified prospects book viewings directly in the conversation against agents’ live calendars. Before each viewing, the agent receives a one-page brief — budget, requirements, timeline, and the full transcript — so the first in-person minute starts from context, not discovery.
After launch we review scored conversations with the agency weekly, comparing the AI’s qualification calls against what agents actually found at the viewing, and tune thresholds until the score is one the team trusts.
Target outcomes
2-3x more qualified viewings per agent
Basis: Lead-to-viewing conversion lift ranges reported for instant-response qualification
Lead response time from hours to under a minute
Basis: Always-on automated engagement versus manual callbacks
Most unqualified inquiries filtered before reaching an agent
Basis: Qualification-funnel splits in published conversational-AI sales deployments
Every viewing preceded by a structured lead brief
Basis: Deterministic output of the CRM sync and briefing workflow
Illustrative targets based on industry benchmarks — not guaranteed results.
Typical timeline: 3-5 weeks from framework design to calibrated launch
Frequently asked questions
Ready to get started?
Book a free 30-minute strategy call. No commitment required.
