AI Voice Receptionist Handling 4,200 Calls Monthly
Deployed multi-language voice AI handling appointment bookings, insurance verification, and triage.
AI Voice Receptionist Handling 4,200 Calls Monthly
Deployed multi-language voice AI handling appointment bookings, insurance verification, and triage.
Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.
The Real Problem
1. Peak hours (8-11am) created 60+ call backlog
2. 40% of calls were routine questions (hours, insurance, location)
3. After-hours appointments couldn't be booked
4. Manual appointment entry had 7% error rate
5. No initial symptom assessment before talking to doctor
What We Actually Changed
Deployed Vapi-powered voice receptionist:
- Bilingual (English/Spanish) conversational AI
- Real-time appointment calendar integration
- Insurance verification system
- Symptom triage questionnaire
- Direct routing to appropriate provider
- 24/7 call availability
- Integration with patient management system (Athena)
- Natural voice synthesis indistinguishable from human
TOOLS AND METHODS USED
Delivery Journey
Voice Training
Recorded clinic staff, trained AI voice model
Workflow Design
Mapped call flows, appointment logic, triage questions
Integration
Connected to patient system, calendars, insurance lookup
What Improved
The voice AI sounds so natural that patients are amazed when we tell them it's AI. It handles our volume perfectly and gives us better data on incoming patients. This is the future of healthcare reception.
FOUNDER BRIEF
DELIVERY STACK
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