Case Studies
Clinics / ServicesAI AutomationDemo Project

AI Voice Receptionist

Answers every call in one ring, books the appointment, never sleeps.

AI Voice Receptionist cover
Industry
Clinics / Services
Category
AI Automation
Timeline
3 weeks (demo build)
Services
4 disciplines
Project Overview

The engagement

A conversational AI receptionist that picks up calls in the client's brand voice, qualifies the caller, books appointments straight into the calendar and pings the human team only when it matters.

Client Challenge

Where they were stuck

  • Missed calls equal missed revenue, especially after hours.
  • Human receptionists are expensive and can only handle one call at a time.
  • Booking friction on phone calls leads to no-shows and wrong info.
Our Solution

What we built

  • Realtime voice agent trained on the business's own scripts and FAQs.
  • Native calendar integration with configurable rules.
  • SMS confirmation and reminders after every booking.
  • Live human handover with warm transfer for edge cases.
Development Process

How the work unfolded

01
Discovery

Framed the problem, mapped the workflow and defined success from day one.

02
Blueprint

Sketched the architecture, data model and user journeys end to end.

03
Build

Shipped in weekly increments with production-quality code from the first commit.

04
Launch

Migrated data, trained the team and cut over with a safety net in place.

05
Optimise

Measured, tuned and hardened until the system felt effortless to run.

Technology Stack
OpenAI RealtimeTwilioDeepgramGoogle CalendarHubSpot
Services Provided
Voice AITelephonyCalendar IntegrationCRM Sync
Key Features

What shipped

  • Natural conversation with sub-second latency
  • Multi-language and accent adaptation
  • Emergency routing to on-call staff
  • Full call transcripts and CRM notes
  • Voicemail-to-summary for missed windows
Before vs After

The shift

Before
Missed calls after 6pm
After
Every call answered, 24/7
Before
One receptionist, one call
After
Unlimited concurrent calls
Before
Manual booking errors
After
Straight into the calendar, correctly
Results

The outcome they feel every day

Recovered revenue

Every ring becomes a booking opportunity, not a bounce.

Freed-up staff

Front-desk teams focus on in-person service, not the phone.

Consistent brand voice

Every caller gets the same warm, on-brand experience.

"Callers genuinely can't tell it's AI — and it books cleaner appointments than most human receptionists."
INTILEQ AI Lab
Demo build

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