An AI real estate agent drove a 45% increase in qualified calls and added 63,000 USD in monthly recurring revenue.
- Qualified calls
- +45%
- MRR lift
- +$63k
- Availability
- 24/7
What we shipped
A 24/7 conversational AI agent that engages buyers and sellers, qualifies leads, and books meetings with human agents. Computer vision and geospatial analysis support initial property assessment for sellers.
Real estate agencies rely on lead generation and fast response. As lead volumes climbed, sales teams struggled to reply quickly and qualify prospects consistently. Scaling by headcount introduced long training cycles, uneven qualification quality, limited off-hours coverage, and high cost. Many inbound leads were low-quality or missing property information, forcing agents to spend time on manual assessment before substantive conversations.
Blueprint → AI Pilot → Production launch → Scale and operate.
We followed the Datablooz Delivery Model. See our process.
- Blueprint
Defined the buyer and seller conversation model, qualification rubric, and CRM integration requirements.
- AI Pilot
Built the conversational AI, lead scoring, and initial computer-vision property assessment on a subset of channels.
- Production launch
Deployed 24/7 engagement with CRM management, meeting scheduling, and property quality assessment using computer vision.
- Scale and operate
Added property valuation, listing generation, buyer preference modeling, and portfolio analytics on top of the agent.
Business, technical, and governance outcomes.
- 45% more qualified calls per month after launch.
- Roughly $63,000 in added monthly recurring revenue.
- Always-on buyer and seller engagement without added headcount.
- Agents freed to focus on high-quality opportunities.
- Python
- LLMs
- Twilio
- FastAPI
- PostgreSQL
- Computer Vision
Structured qualification rubric logged per lead, CRM synchronization on every action, and clear handoff from AI to human agent on high-stakes conversations.
Working on something similar?
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Reference calls available under NDA after the second working session.