AI clinic receptionists that schedule appointments, answer routine patient questions, reduce voicemail, and escalate sensitive conversations.
Common call types
- Appointment scheduling
- Rescheduling
- Insurance basics
- Pre-visit instructions
- Location and hours
- Urgent routing
Relevant automations
- AI reception
- Appointment booking
- Pre-visit intake
- SMS reminders
- Call summaries
Business outcomes to measure
- Reduce voicemail backlog
- Free staff for in-person patients
- Improve patient response speed
- Route urgent cases faster
Implementation approach
- Document safe call boundaries.
- Connect scheduling and patient communication tools.
- Create escalation triggers for urgent or sensitive topics.
- Review transcripts for quality and compliance.
What it costs
Focused automations such as missed-call recovery typically cost $2,000 to $5,000 to build. A production AI receptionist with booking, CRM updates, and call transfers typically costs $5,000 to $15,000, plus monthly usage for calls and texts. Every quote is fixed-scope and in US dollars. See pricing details.
Operational metrics to review
- fewer missed calls
- 72%
- more booked consults
- 41%
- patient coverage
- 24/7
- calls handled quarterly
- 11k+
Frequently asked questions
Can healthcare voice AI give medical advice?
No. It should avoid diagnosis or clinical advice and escalate those conversations.
Can it handle appointment scheduling?
Yes, with calendar or practice management integration.
Can it support after-hours calls?
Yes. After-hours scheduling, FAQs, and urgent routing are strong clinic use cases.