VOICE AI

Call the front desk. Spoiler: it's not a person.

An AI receptionist that books, answers, and routes. 63,244 calls and counting.

Ridgeline Dental
AI Receptionist
Visual demo
Behind the Build +

STACK

VAPI (telephony)ElevenLabs TTSOpenAI Whisper STTWorkers AICloudflare WorkersDurable Objects (session)

ARCHITECTURE

  1. 1
    Inbound call received
    VAPI intercepts the call and streams audio to the processing pipeline.
  2. 2
    Speech-to-text
    Whisper transcribes the caller’s speech in under 300ms.
  3. 3
    Intent classification + response
    LLM classifies intent (scheduling, insurance, emergency) and generates a natural response.
  4. 4
    Text-to-speech
    ElevenLabs converts the response to natural speech: the caller hears a voice, not a menu.
  5. 5
    Routing decision
    Based on intent and confidence, the call is handled fully or escalated to a human with context.
You just spoke with a voice receptionist that understood natural language. In production, this handles 63K+ calls at 98.2% accuracy.
Try Chatbots to see the text side of the same intelligence.

More where that came from.

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