how to build voice ai for inbound calls
You can have a Vapi agent answer every inbound call, ask qualifying questions, and hand the prospect off to Calendly to lock in a meeting - all without writing a single line of custom telephony code. The result is a self-contained voice AI agent that routes calls, captures lead data, and books calendar slots automatically. voice is the audible sound produced by a human speaker that can be…
Building a voice AI agent for inbound calls can be achieved without writing any custom telephony code. This solution involves using Vapi, Twilio, Calendly, and n8n to create a self-contained voice AI that routes calls, captures lead data, and books calendar slots automatically.
To begin, you'll need a Twilio phone number and a Vapi agent. Set up a Twilio number by buying a local US number in the Twilio Console. Configure the number to forward calls to an n8n webhook once the call is connected.
Next, create a Vapi agent using its JSON payload. This agent will ask the caller for their name, company, and a brief description of their challenge. Once the conversation is complete, the agent will forward the captured data to n8n via a webhook.
Twilio will then forward the call audio to the Vapi agent. The agent will run the qualification script, and once it's done, it will send the lead data to n8n. The n8n workflow will then enrich the lead information and create a Calendly event for a scheduled meeting.
In summary, to build voice AI for inbound calls, you'll need a Twilio phone number, a Vapi agent to handle the conversation, an n8n workflow for lead data processing and calendar booking, and optionally, a HubSpot CRM to store qualified leads. The entire process can be completed in 1-2 days, assuming you already have accounts for all the required services.
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