VAPI AI Restaurant Call Answering + Table Booking (n8n, Postgres)

Turn incoming restaurant phone calls into instant table bookings—automatically (with VAPI + n8n + PostgreSQL)

This n8n workflow acts as a virtual restaurant receptionist: it answers calls through VAPI, gathers booking details (name, booking time, number of people), checks availability in PostgreSQL, books the table if available, and sends confirmation back to the caller—no human intervention required.

What this workflow does

• Handles calls via VAPI to collect user input for table bookings and restaurant inquiries, while mimicking a human receptionist.
• Queries PostgreSQL availability using n8n based on the requested booking time and party size.
• Books the table when available by updating the PostgreSQL booking/availability records.
• Sends a booking confirmation (and restaurant details) back through VAPI via n8n.
• Stores and updates restaurant table data in PostgreSQL to keep availability accurate over time.

Use cases

• A restaurant wants calls answered 24/7, with automated table booking confirmations.
• SaaS operators need a production-ready n8n automation that integrates VAPI call handling with PostgreSQL availability checks.
• An automation engineer is building a “virtual receptionist” experience to reduce missed calls and manual scheduling.

Technical details

• VAPI integration for call collection and receptionist-style responses.
• PostgreSQL for booking and availability management (requires the workflow’s expected booking/availability tables).
• n8n nodes: webhook, postgres, sticky note, respond to webhook.

Quick setup guide

• Import the workflow into n8n.
• Configure your VAPI and PostgreSQL credentials.
• Test with a sample VAPI call to confirm data capture and booking confirmation.
• Customize the VAPI input fields or adjust the PostgreSQL availability query for your restaurant’s rules.