Estatia Autonomous AI Property Inquiry & Viewing Scheduler Agent
PROJECT SUMMARY
An autonomous AI agent that answers property inquiries and qualifies buyer/renter intent in real time. It matches clients to listings and recommends properties instantly through natural conversation. The agent automatically schedules viewings by syncing with agent calendars. This reduced agent workload by 65% while capturing leads around the clock.
The Challenge
Agents spent hours daily answering repetitive inquiries about pricing, availability, and amenities. After-hours leads often went cold before anyone could respond to them. There was no reliable way to separate serious buyers from casual browsers. Scheduling viewings required constant manual back-and-forth between clients and agents.
The Solution
I built an autonomous AI agent using OpenAI's function calling with a RAG-powered listings pipeline. The agent asks qualifying questions and recommends matching properties in real time. For qualified prospects, it checks calendars and books viewings automatically via Google Calendar API. A lead-scoring model prioritizes high-intent prospects and nurtures casual browsers with follow-ups.
The Results
Average response time dropped from 5+ hours to under 20 seconds. 78% of property inquiries were handled end-to-end without agent involvement. Viewing bookings increased by 41% due to instant, 24/7 availability. Agent time on repetitive inquiries fell by 65%, freeing focus for closing deals.
Technology stack
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