This template uses VAPI and Cal.com to book appointments through a voice conversation. It detects whether the user wants to check availability or book an appointment, then responds naturally with real-time scheduling options. Who is this for? This workflow is perfect for: Voice assistant developers AI receptionists and smart concierge tools Service providers (salons, clinics, coaches) needing hands-free scheduling Anyone building voice-based customer experiences What does it do? This workflow turns a natural voice conversation into a working appointment system. It starts with a Webhook connected to your VAPI voice agent. The Set node extracts user intent (like “check availability” or “book now”). A Switch node branches logic based on the intent. If the user wants to check availability, the workflow fetches available times from Cal.com. If the user wants to book, it creates a new event using Cal.com's API. The final result is sent back to VAPI as a conversational voice response. How to use it Import this workflow into your n8n instance. Set up a Webhook node and connect it to your VAPI voice agent. Add your Cal.com API token as a credential (use HTTP Header Auth). Deploy and test using VAPI’s simulator or real phone input. (Optional) Customize the OpenAI prompt if you're using it to process or moderate inputs. Requirements A working VAPI agent A Cal.com account with API access n8n (cloud or self-hosted) An understanding of how to configure webhook and API credentials in n8n Customization Ideas Swap out Cal.com with another booking API (like Calendly) Add a Google Sheets or Supabase node to log appointments Use OpenAI to summarize or sanitize voice inputs before proceeding Build multi-turn conversations in VAPI for more complex bookings
