A practical guide / Clinics and spas
Should a clinic or spa use an AI receptionist?
By Elliott Callender ·
It can help, if you are clear about what it handles. An AI receptionist is good at answering out-of-hours calls and messages, giving prices and availability, and booking simple appointments into your booking system. It should hand anything about treatment suitability, health, complaints or refunds to a person.
Before choosing a supplier, look at what your front desk actually deals with in a normal week. That tells you whether an AI receptionist would take real pressure off your team or just add another system to manage.
What an AI receptionist does
Most AI receptionists answer phone calls, website chat or messages using an AI voice or text assistant. They read from information you provide, such as your treatment menu, prices, opening hours and policies, and many can check availability and book into systems such as Pabau, Phorest or Fresha.
They do not know your clients the way your team does. They cannot judge whether a treatment is right for someone, calm an unhappy client or decide on an exception to your cancellation policy. A good set-up passes those conversations to a person quickly and clearly.
Look at a week of enquiries first
For one ordinary week, ask the front desk to keep a simple tally of every call, message and email. Note the type, such as new booking, reschedule, price question, treatment question, membership or complaint, and whether it arrived out of hours or was missed.
If many enquiries arrive in the evening and go to voicemail, or the desk spends hours each day on simple rebooking, an assistant may help. If most conversations are detailed treatment questions or long-standing clients who want to talk to someone they know, it will help far less.
Get your basics in one place
An AI receptionist is only as good as the information behind it. Before switching one on, gather your current treatment menu and prices, deposit and cancellation rules, which practitioner offers what, consultation requirements and opening hours into one document that someone owns and keeps up to date.
This is worth doing even if you never use AI. New front-desk staff learn faster, and clients get the same answer whoever they speak to.
A worked example: the evening enquiry
This example is fictional and illustrates a proposed process. It describes no real clinic or measured result. Imagine an aesthetics clinic whose phones go to voicemail after 7pm.
| Step | Before | Proposed after |
|---|---|---|
| Enquiry | Caller reaches voicemail at 9pm. | Assistant answers, explains it is an automated assistant and asks how it can help. |
| Simple question | Caller waits until the next day for prices. | Assistant gives prices and consultation details from the approved list. |
| Booking | Staff call back the next morning, often more than once. | Assistant offers available consultation slots and books one. |
| Treatment question | Answered by whoever calls back. | Assistant takes a message and flags it for a practitioner to call. |
| Next morning | Front desk works through voicemails. | Front desk reviews bookings and flagged messages and follows up personally. |
Keep the personal touch
Clients of a premium clinic or spa expect to be recognised and looked after. Use the assistant for the simple, repetitive parts so your team has more time for people in the building and for follow-up calls that build loyalty.
Always tell callers they are speaking to an automated assistant, and give them an easy way to reach a person. Read a sample of conversations every week at first. You will quickly see where it helps and where clients get frustrated.
Data and privacy
Calls and messages to a clinic can include health information, which UK GDPR treats as special category data. Ask each supplier where conversations are stored, who can access them, how long recordings are kept and whether they will sign a data processing agreement. Make sure callers are told about recording.
If your clinic is registered with the CQC or another regulator, involve whoever is responsible for governance before you start, and keep the assistant away from clinical advice.
Questions to ask suppliers
Does it connect directly to our booking system, or does it just take messages? How does it hand a caller to a person, during and outside opening hours? Can we read every transcript? How do we update prices and policies, and how quickly does it pick up changes? What is the full monthly cost, including set-up and usage?
Ask for a trial on your real phone line or chat for a short period, and agree beforehand what would count as success.
Measure what matters
Before and during a trial, count missed calls, enquiries that turn into booked consultations, time the front desk spends on rebooking and any complaints about the assistant. If missed calls fall and bookings hold or rise without complaints, keep it. If not, you will still have a clearer picture of your front desk and a tidier information pack.
Common questions
How much does an AI receptionist cost?
Pricing varies by supplier and is usually a monthly fee, often with charges for usage such as minutes or conversations, plus any set-up. Compare the full cost against the missed enquiries and staff time it actually saves.
Will clients mind talking to an AI receptionist?
Many are happy to get a quick answer out of hours, as long as they know it is automated and can reach a person easily. Clients with treatment questions or concerns should always be passed to your team.
Can an AI receptionist book appointments directly?
Many can, if they connect to your booking system. Check the connection works with your system and your deposit and consultation rules before you rely on it.