TRANSMISSION_OPEN /ai-voice-receptionist-ghl-vapi

How to Build an AI Voice Receptionist Using GoHighLevel and Vapi

TECHNICAL TUTORIAL // READ_TIME: 5_MIN

Missed calls are lost revenue. Here is the exact schematic for a human-sounding receptionist that books appointments directly into GHL.

Your "Missed Call Text Back" is no longer a competitive advantage. Everyone has it. The new standard is immediate, conversational voice resolution.

The Stack

Twilio

Telephony provider. Handles inbound/outbound SIP trunking.

LAYER_01
Vapi.ai

The voice engine. Latency < 800ms. Conversational AI layer.

LAYER_02
GoHighLevel

The CRM and Calendar. Appointment booking + contact management.

LAYER_03

The Logic

01
Inbound Call
→ Forward to Vapi SIP
02
Vapi Agent answers
prompt: "Thanks for calling [Agency], are you looking to book a consult?"
03
IF YES → Vapi triggers GHL Function check_calendar_availability
04
Vapi reads available slots → Customer confirms
05
Vapi POST → GHL Webhook book_appointment
> STATUS: Voice_pipeline == OPERATIONAL
> avg_latency: 640ms // booking_success_rate: 94.2%

// SYSTEM_NOTE

Don't want to spend 20 hours debugging API connections? The full snapshot — Vapi config, GHL workflows, Twilio routing — is available as a pre-built package.

Don't want to build it? Buy the Snapshot