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Healthcare / DentalInbound Calls + Bookings

Voice Assistant for Dental Clinic

A custom AI voice agent that answers calls 24/7, handles common questions, and books appointments into the clinic's scheduling workflow—reducing missed calls and front desk overload.

Client

Family Dental Clinic

Duration

2-4 weeks (pilot)

Call Volume

~120 calls/day

Overview

Client Snapshot

A quick look at the environment this assistant was designed for.

Clinic

Family Dental Clinic (Ontario)

Team Size

4 dentists, 9 staff

Call Volume

~120 calls/day

Primary Pain

Missed calls + lost bookings

Phase 01

The Problem

Dental clinics lose revenue when calls aren't answered quickly and consistently—especially during peak hours and after-hours.

  • Front desk overload: check-ins + insurance + phone calls at the same time.
  • Missed calls: many callers won't leave voicemail; they just call another clinic.
  • After-hours gap: voicemails don't convert well into bookings.
  • Repeat questions: hours, location, parking, pricing ranges, insurance coverage.

What we optimized for

Reliability > fancy features

The assistant must behave like a trained receptionist: fast, polite, accurate, and able to hand off to humans instantly when needed.

Low latency voice pipelineAppointment workflowSoft escalationAudio-friendly logic
Phase 02

Our Solution

We built a custom voice assistant that answers inbound calls 24/7, resolves common requests, and books appointments into the clinic's scheduling workflow.

24/7 Call Answering

Always available—captures bookings after hours and during peaks.

Booking & Rescheduling

Books, reschedules, or cancels appointments based on availability.

FAQ & Policy Handling

Hours, directions, parking, insurance questions, and prep instructions.

Smart Escalation

Transfers to staff for complex cases—never traps callers in a loop.

SMS Confirmation

Sends appointment details via text immediately after the call.

Call Logging & Review

Transcripts + outcomes for QA, training, and operational reporting.

Workflow

How It Works

The point isn't "AI" — it's consistent call handling with a clear handoff path and clinic-specific workflows.

  1. 1

    Caller dials the clinic's number.

  2. 2

    Voice assistant answers instantly and identifies intent (booking, reschedule, FAQ, billing question).

  3. 3

    For scheduling: checks availability + confirms details + saves appointment.

  4. 4

    For complex cases: transfers to staff and shares call context.

  5. 5

    Sends SMS confirmation and logs the interaction.

FAQ ExampleInsurance & Fees

Goal: clinic-approved answers with smart escalation.

Do you accept SunLife insurance?

Caller

Yes — we work with SunLife. Coverage depends on your plan. If you share your provider and policy type, I can tell you what we typically need at the appointment.

AI Assistant

I'm not sure. Can I talk to someone?

Caller

Absolutely — I'll connect you to the front desk now.

AI Assistant

Policy guardrails enabledTransfer in ~2s
Phase 03

Key Results

Performance metrics from pilot deployment. Results may vary based on clinic size and call patterns.

-32%

Reduction in missed calls

+24%

Increase in completed bookings

15 hrs

Staff time saved per week

What changed operationally

Front desk focused more on in-clinic patients. After-hours calls converted into bookings. The clinic gained visibility into call reasons and outcomes using transcripts and call tags.

Tech Stack

Tech & Approach

Production-grade voice pipeline with clinic-specific workflows.

Core Capabilities

  • Real-time speech: low latency, interruption handling (barge-in).
  • Workflow engine: booking/rescheduling, validation, fallback.
  • Safety & QA: transcripts, redaction options, call review.
  • Integrations: calendar/EHR scheduling via API or assisted workflow.

Example Stack

Telephony: TwilioSTT: DeepgramLLM: OpenAITTS: ElevenLabsOrchestration: CustomLogging: Postgres

Stack varies based on requirements. We select the best tools for each use case.

Ready to Get Started?

Want this for your clinic?

If you handle more than ~30 calls/day, a voice assistant can typically pay for itself quickly by capturing missed bookings and reducing front desk overload.