Case Study · AI Voice Agent

Voice Agent & Appointment Booking System

A voice agent that answers, qualifies callers, and books directly into the calendar.

AI voice agent and appointment booking interface

Challenge

Missed calls and inconsistent booking during busy hours.

Solution

A voice agent that answers, qualifies callers, and books directly into the calendar.

Outcome

Reduced missed calls and manual scheduling.

The challenge

During peak hours the front desk could not keep up with the phone. Calls went to voicemail, callbacks were slow, and appointments were booked inconsistently depending on who picked up.

The approach

How the project moved from problem to working system.

  1. 01

    Map the call types

    Listen to real calls to understand the most common requests and the questions that trip people up.

  2. 02

    Design the call flow

    Script how the agent greets, qualifies, and books, plus when it hands off to a human.

  3. 03

    Connect the calendar

    Integrate live availability so the agent books real slots and confirms them on the call.

  4. 04

    Route and log

    Push every call summary into the CRM and notify the team about anything needing follow-up.

  5. 05

    Launch and tune

    Review early transcripts and refine phrasing and edge-case handling.

Tech stack

  • Vapi
  • Twilio
  • Calendar API

The result

Every inbound call is now answered immediately, qualified consistently, and either booked on the spot or handed to the right person with full context. The team spends far less time on scheduling and far more on the appointments themselves.

Have a similar problem to solve?

Review early transcripts and refine phrasing and edge-case handling.