Tenant pre-qualification cut viewing time by 60%

The challenge

The brokerage burned hours showing space to tenants who were never going to sign. A broker would block out an afternoon, drive across the city and run a two-hour tour, only to discover at the end that the budget was half what the unit cost, the square footage was wrong, or the location didn't work at all.

None of that was discovered up front, because qualifying a tenant properly over phone and email was slow and inconsistent, and brokers under pressure to fill the calendar booked viewings on hope rather than fit.

The cost wasn't just wasted afternoons, it was the qualified tenants who waited longer for a slot because the diary was clogged with mismatches.

The solution

A pre-qualification AI agent now screens every tenant before a single viewing is booked, so brokers only meet people who can actually sign:

• Structured requirements capture, the Tenant Qualifier Agent gathers budget, required size, target neighbourhood and move-in timing in a guided conversation on WhatsApp and Email, replacing the slow manual back-and-forth.
• Listing match from the Knowledge Base, the available portfolio lives in the Knowledge Base with Agentic Search, so the agent filters to units that genuinely fit and never tours a mismatch.
• Only qualified viewings on the calendar, when requirements and a listing line up, the agent books the viewing into the broker's Google Calendar, so the diary fills with real prospects only.
• Qualified leads into CRM, each prospect is written to the CRM via create_crm_lead with requirements and fit notes, and lead_chat_link attaches the qualifying conversation for the broker to read before they meet.
• Hand-off at the right moment, qualified, scheduled tenants pass to the broker through Hand-off Control with full context, so the human time is spent closing, not screening.

Viewing time dropped by 60% because brokers stopped touring mismatches, and qualified tenants got seen faster.

What was deployed