An AI front desk for med-spas & aesthetics clinics
“It's 21:04. A client emails to move tomorrow's appointment and asks for her aftercare sheet. By 21:05 she has a new slot, a confirmation, and the document — and no one at the clinic touched it.”
The situation
A boutique aesthetics clinic lives and dies by its front desk. Bookings, reschedules, deposit questions, price checks, aftercare reminders — they arrive by email, WhatsApp, Instagram and phone, all day and well past closing. The team answers between treatments; evenings and weekends go unanswered until Monday.
The painful part is that almost none of it needs a clinician. The same aftercare sheet is re-sent dozens of times a month. The same three questions about deposits are answered by heart. Meanwhile the one message that truly matters — a client worried about a reaction — sits in the same inbox as everything else.
Going live
Going live took one working session. The clinic pointed the AI Builder at what it already had — a price list, a booking policy, aftercare sheets — and ReQuest generated the service catalog: injectables, facials, laser, peels, each modelled with what it does, when it's available and what it can handle.
For every service, ReQuest proposed the request types clients actually send — reschedules, pricing and availability, aftercare questions, new-patient consultations — ranked by how often they're the reason for contact, each with a suggested split between what the AI owns and where a human steps in. The clinic reviewed the list, tightened one policy, and published.
A day at the desk
“Could I move my Thursday appointment to next week — and could you resend the aftercare sheet?”
→ Rescheduled, confirmed, and answered with the published aftercare — resolved end-to-end by the AI.
“How much is a course of four, and do you have anything Saturday morning?”
→ Priced from the live price list, Saturday slot offered — matched at high confidence, answered in minutes.
“I had filler on Saturday and one side still feels firm and sore. Is this normal?”
→ Classified as a possible adverse reaction and routed to a practitioner with an AI-prepared summary. The AI does not answer clinical questions.
What stays human
Clinical judgment is a hard boundary, not a setting. Adverse reactions, suitability edge cases and corrective work are gated request types: the AI classifies them, prepares the case summary and triage context, and hands the conversation to a practitioner. Deposit exceptions work the same way — the AI drafts the goodwill reply, and a human approves it before anything is promised.
What changed
- Evenings and weekends answered — bookings no longer wait for Monday
- Aftercare and policy questions answered consistently, from the clinic's own documents
- Clinical concerns reach a practitioner faster, with context already prepared
- Front-desk time back for the clients standing at the desk
Sounds like your desk? See it on your services.
Describe what you do — a working catalog and portal, live in days. No enterprise contract.