AI Voice Intake for Medical Clinics

A multi-location medical clinic serving English- and French-speaking patients relied on front-desk staff to handle a high volume of inbound calls.

During peak hours, patient details were often captured inconsistently, follow-ups depended on manual notes, and visibility into call outcomes was limited. The clinic needed a reliable bilingual voice intake system that could capture structured data in real time and reduce staff workload.

High inbound call volume during clinic hours

Missed or partially captured patient information

Manual note-taking and delayed follow-ups

Inconsistent handling between English and French callers

No structured handoff from calls to backend systems

Limited visibility into call intent and outcomes

I built a production-ready AI voice intake system using VAPI, ElevenLabs, and n8n to automatically handle inbound calls in both English and French.

Each language is managed by a dedicated AI voice agent with language-specific voices, ensuring natural pronunciation and clear conversational flow. The assistant guides callers through a short, structured intake, captures key patient details, and triggers backend automation in real time.

The system was designed with explicit control over validation, data flow, and future extensibility.

Incoming calls are answered by AI voice assistants

Separate EN / FR agents handle conversations

Callers are guided through a structured intake flow

2️⃣ Intent & Data Capture The assistant identifies whether the caller is:

Booking an appointment, or

Making a general inquiry

It captures:

Caller name

Phone number (with spoken confirmation)

Optional notes or preferences

Collected data triggers a webhook into n8n

Inputs are validated, normalized, and logged consistently

Edge cases are handled before submission

All calls are stored in a structured, audit-friendly format

The system is ready to extend into:

100% of inbound calls captured with structured data

Reduced manual front-desk workload

Consistent patient experience across EN and FR

Improved visibility into call intent and outcomes

Scalable foundation for future automation without adding staff

VAPI — inbound call handling and voice orchestration

ElevenLabs — multilingual text-to-speech (EN / FR)

n8n — workflow orchestration and backend automation

Webhook-based architecture — real-time, reliable triggers