AI Real Estate Agent for MonkSpaces Commercial Leasing

The Challenge

MonkSpaces' sales team was spending 70% of their time on repetitive lead qualification and basic property queries — questions like availability, pricing, floor plans, and amenities that could be answered without human judgment. This left little bandwidth for high-value activities: negotiating leases, building broker relationships, and closing deals. As the property portfolio grew, the problem compounded.

Our Approach

Tequity built an agentic AI system trained on MonkSpaces' full property database, leasing policies, and historical conversation data. The agent handles inbound leads across web chat and WhatsApp, conducting natural conversations to understand requirements, qualify intent, and match prospects to suitable properties.

When a lead meets qualification criteria, the agent autonomously books site visit appointments directly into the sales team's calendar — handing off only warm, qualified opportunities. The system continuously learns from conversion data to improve its qualification accuracy over time.

The Results

Sales team workload related to early-stage lead handling fell 60%, freeing the team for strategic activities. The number of leads qualified per day tripled thanks to 24/7 availability and parallel conversation handling. Lead response time dropped from hours to seconds. The sales team now spends the majority of their time on high-value negotiations rather than repetitive Q&A.