Rental agencies usually go dark at 7pm, exactly when renters browse. An AI receptionist on WhatsApp and phone answers property questions from live listing data, qualifies each caller and books morning callbacks straight into agent calendars.
Typical results
24/7
Reception coverage
15/wk
Callbacks pre-booked
+40%
Monthly viewings
Figures reflect typical results for this kind of automation.
The challenge
Nearly half the agency's inquiries arrived between 7pm and midnight, when renters finish work and start scrolling listings. Calls hit voicemail, WhatsApp messages sat until morning, and by then the prospect had booked viewings with three other agencies. The team tried rotating evening shifts, but burnout ended the experiment within a month.
Before and after
Evening inquiries answered
8.3×Qualified callbacks booked
5×Viewings
+40%The automation
We built an AI receptionist that answers WhatsApp and phone inquiries the moment they arrive. Connected to live listing data, it answers real questions — availability, price, floor, parking, pet policy — instead of reciting a menu. It then qualifies the prospect on budget, move-in date, and requirements, and offers a morning callback slot pulled directly from the right agent's calendar. Every conversation transcript and qualification score lands in the CRM before the office opens.
How it works
- 01
Inquiry at 11pm
A renter calls or messages long after the office has gone dark.
- 02
Real answers
The AI answers availability, price, floor, parking, and pet policy from live listing data.
- 03
Qualify
Budget, move-in date, and must-haves are collected in a natural conversation.
- 04
Book
A morning callback slot is placed directly into the right agent's calendar.
- 05
Brief
The transcript and qualification score are waiting in the CRM before the office opens.
Starts from
- WhatsApp after hours
- Evening calls
Delivers
- Qualified prospect
- Morning callback booked
- Transcript to CRM
The impact
Missed evening inquiries typically drop to zero. Agents walk in each morning to a queue of qualified, pre-booked callbacks, around fifteen a week, instead of a voicemail graveyard. Monthly viewings can rise about forty percent, and leases that used to slip away unnoticed get signed.
Questions about this automation
How does the AI receptionist know the answers about each property?
It is connected to the agency's live listing data, so it reads availability, rent, floor, parking and pet policy for the specific unit a renter asks about. When a listing changes or is let, the answers change with it. Questions outside the listing data are noted for the agent to answer at the callback.
What information is collected from each renter?
In a natural conversation, the AI asks for budget, preferred move-in date and must-haves such as parking, pets or number of rooms. It gives the prospect a qualification score from those answers, and the full transcript and score are saved to the CRM before the office opens the next morning.
How are morning callbacks booked?
The AI reads open slots from the calendar of the agent who handles that listing or area and offers the renter a few morning times. Once the renter picks one, the callback is added to the agent's calendar with the conversation summary, and the renter receives a confirmation message on WhatsApp.