🔴  THE PROBLEM

A client wanted to deploy an AI voice agent (using VAPI) that could handle inbound calls and answer questions based on live business data — but their data lived in Supabase and wasn't connected to the voice layer. Without integration, the voice agent could only give generic responses and couldn't access current records, appointment data, or customer information in real time.

🔧  WHAT I BUILT

I built a real-time integration layer connecting VAPI's voice AI to a Supabase backend via n8n:

• Webhook-based trigger system — VAPI fires events on call start, mid-call function calls, and call end, all routed into n8n for processing

• Dynamic data lookup workflows — n8n queries Supabase in real time based on caller context (phone number, appointment ID, query type) and returns structured responses to VAPI

• Write-back logic — post-call summaries, outcomes, and action items are automatically written back into Supabase, updating CRM records without manual entry

• Error handling and fallback responses for failed lookups — ensuring the voice agent always has a graceful fallback instead of dead silence or incorrect data

✅  THE RESULT

The voice agent moved from generic scripted responses to dynamic, data-aware conversations — accessing live Supabase records during calls and updating them automatically after. Call handling became fully automated for common inquiry types, reducing the need for human agents on routine interactions and ensuring all call data was captured and structured for reporting.