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Case Study

AI Voice Appointment Setter

AI voice automation and call workflow integrations connected with broader business automation systems.

Demo build — showing the full call-to-booking flow I implement for clients handling appointment-heavy operations (clinics, salons, service businesses).

Tools used

Vapin8nAPIs

Problem

Voice and communication workflows needed a way to connect calls with data capture, follow-up, and operational systems.

Solution

Built Vapi-powered call workflows connected to n8n and APIs so call outcomes can trigger structured automation steps.

Result

Extends appointment booking coverage from business hours to 24/7 — callers get availability checked, and appointments booked, rescheduled, or cancelled any time, with zero missed-call voicemail tag. That's a 4.2x increase in booking availability versus a typical business-hours-only line (40 hrs/week → 168 hrs/week).

Video demo

AI Appointment Setter demo

Video demo of the Voice AI appointment setter workflow using Vapi, n8n, and API-connected scheduling steps.

YouTube
Open Demo

Workflow breakdown

How the system works

The workflow is organized around clean inputs, clear decisions, and predictable handoffs so the result is useful for the team.

1

Design the call flow and expected caller outcomes.

2

Connect Vapi with automation workflows and external APIs.

3

Route call results into follow-up or internal action steps.

4

Test call paths, captured data, and handoff behavior.

Screenshots

Project screenshots

Real workflow maps, app screens, and dashboard views from the system build.

n8n AI appointment setter workflow showing availability checks, booking, rescheduling, cancellation, and call record branches
n8n AI appointment setter workflow
Vapi assistant configuration screen for Amy scheduling assistant with model, transcriber, voice, first message, and system prompt
Vapi assistant configuration

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