24/7 Property Inquiry Voice AI
Never miss a lead with AI that books showings at 2 AM
OBJECTIVES
PROJECT TYPE
Voice AI
A growing real estate brokerage was missing leads.
15 MIN · NO PREP REQUIRED
OVERVIEW
A growing real estate brokerage was missing leads. Calls came in at all hours—including 40% after business hours. Voicemails went unreturned. Leads went cold. We deployed a voice AI that answers every call, qualifies buyers, provides property details, and books showings directly into agent calendars.
THE PROBLEM
The brokerage had 15 agents handling 200+ calls per week. But analysis revealed a problem: 40% of calls came outside business hours. Voicemails piled up. By the time agents returned calls the next morning, leads had often contacted competitors.
Even during business hours, agents couldn't always answer. They were showing properties, in meetings, or handling closings. Each missed call was a potential six-figure commission walking away.
The brokerage tried an answering service. It was expensive and operators couldn't answer property-specific questions. "Is the kitchen updated?" "How far from the beach?" These questions sat unanswered.
They needed an always-on solution that could actually help callers, not just take messages.
CONSTRAINTS
- Must integrate with local MLS for real-time listing data
- Must connect to agents' Google/Outlook calendars
- Callers should not feel like they're talking to a robot
- Must handle Spanish and English calls
- Escalation to human agent must be seamless
- Per-call costs must beat answering service rates
DELIVERABLES
What we shipped.
Voice AI with natural conversation ability
MLS integration for real-time property details
Calendar integration for instant booking
Lead qualification scoring and routing
Call recording and transcription system
Analytics dashboard for lead tracking
Spanish language support
KEY DECISIONS
How we solved it.
Scripted IVR or conversational AI?
Fully conversational with guardrails
IVR trees frustrate callers ('Press 1 for...'). Conversational AI handles natural questions. We added guardrails to keep conversations on-topic and smoothly escalate when needed. Caller satisfaction was the priority.
How to handle 'Is this a real person?' objections?
Transparent AI identity with value emphasis
The AI introduces itself as an assistant that can help 24/7. Rather than pretending to be human, it emphasizes capability: 'I can give you details on any listing and book a showing right now.' Transparency built trust.
Real-time MLS or cached data?
Real-time with 15-minute cache
Stale listing data (sold properties, changed prices) damages credibility. Real-time MLS API calls ensure accuracy. 15-minute caching reduces API costs for repeated queries about popular listings.
OUTCOMES
Results delivered.
3.2x
Lead Capture
More than tripled leads captured from calls
47%
After-Hours Leads
Percentage of total leads now captured after hours
156/month
Showings Booked
Average showings booked directly by AI
18 hrs/week
Agent Time Saved
Time saved across team on initial qualification
-62%
Cost per Lead
Compared to previous answering service
TIMELINE
Project phases.
Discovery & Voice Design
Map caller journeys, design conversation flows, select voice persona
Integration Setup
Connect MLS API, calendar integrations, phone number provisioning
AI Training
Build knowledge base from listings, train on common questions, refine responses
Testing & Refinement
Internal testing, edge case handling, Spanish language tuning
Launch & Optimize
Go live, monitor calls, refine based on real conversations
Ready to build?
Book a call to discuss your project. 15 minutes, no prep required.