Selected work

Implemented case studies.

Two real, anonymized engagements show how Clerivo adapts the automation to the business instead of forcing the same package every time.

Beauty salon

The client needed a stronger booking presence and a more responsive first point of contact. Clerivo shaped the website, AI receptionist, and appointment follow-up as one journey.

WebsiteService discovery and booking path designed for mobile-first visitors.
Before serviceAutomated confirmations, reminders, and intake forms keep clients prepared.
After serviceAn automated Google review request follows each completed appointment.
ApproachWebsite delivery and automation shaped as one continuous client journey.

How every customer request is routed.

The website answers routine questions, then hands appointment actions to one connected automation layer.

Every customer request One starting point

Website Answers and routes the request

General information

Handled here

The website answers immediately without starting an appointment workflow.

Address
Working hours
Services
Policies

Request resolved

Book or cancel

Sent onward

Appointment requests are handed to the connected operating layer.

Automations

Coordinates every appointment action and follow-up.

Check live availability
Book or cancel within the 48-hour policy
Send booking confirmation
Send reminders and intake forms
Send a Google review request after service

Connected services

Calendar

Availability, booking, and cancellation

Email

Confirmations, intake forms, and review requests

SMS

Confirmations and reminders

Recorded and shared

Database

Records every request and action

Staff

Receives updates and any human handoff

Physiotherapy clinic

This engagement stayed focused on automation. The goal was to support front-desk communication and appointment follow-up without replacing the clinic's wider systems.

AutomationAn AI receptionist shaped around common inquiry and booking needs.
Before serviceAutomated confirmations, reminders, and intake forms reduce repetitive coordination.
After serviceAn automated Google review request follows each completed appointment.
FitDesigned to sit alongside the clinic's existing workflow.
ScopeAutomation-only delivery, proving the services can stand alone.

How every patient request is routed.

The AI receptionist answers routine questions, then hands appointment actions to one connected automation layer.

Every patient request One starting point

AI receptionist Answers and routes the request

General information

Handled here

The AI receptionist answers immediately without starting an appointment workflow.

Address
Working hours
Services
Policies

Request resolved

Book or cancel

Sent onward

Appointment requests are handed to the connected operating layer.

Automations

Coordinates every appointment action and follow-up.

Check live availability
Book or cancel within the 48-hour policy
Send booking confirmation
Send reminders and intake forms
Send a Google review request after service

Connected services

Calendar

Availability, booking, and cancellation

Email

Confirmations, intake forms, and review requests

SMS

Confirmations and reminders

Recorded and shared

Database

Records every request and action

Staff

Receives updates and any human handoff

Hear the AI receptionist handle a booking.

Two sample conversations show how a request moves from the first question to a confirmed appointment.

Earliest available appointment

A patient explains the request, accepts the earliest opening, and completes the booking.

Comparing available dates

A patient compares several openings, asks follow-up questions, and confirms the preferred appointment.

Your workflow will be different.

That is the point. We start with how the business actually runs, then shape the smallest useful system around it.

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