A high-intent Botox or filler enquiry calls at 9pm, hears a ring-out, and books with the clinic down the road instead. Every missed call is a chair sitting empty tomorrow. We build the AI receptionist and reminder system that answers every call and text, books the slot, and follows up, so the front desk stops leaking revenue after hours.
Built around how aesthetic clinics keep the schedule full.
Enquiries and confirmations happen on the phone and by text, at all hours. A front desk built for a nine-to-five schedule is structurally missing revenue.
Same team, same treatment menu. The difference is that no enquiry, reminder, or reactivation depends on someone being at the desk to send it.
A few of the highest-value places to start. Examples, not the limit of what we build.
Answers 100% of inbound calls and texts, books and confirms the slot, 24/7. No enquiry ever reaches a ring-out again.
A text at 7 days, 24 hours, and the same morning. Built to cut the no-shows that quietly empty the schedule.
Runs off your own booking list, reaching clients who have gone quiet and inviting them back before they find another clinic.
Every completed visit triggers a Google review ask at the right moment, so the review count grows without anyone chasing it.
Enter your own numbers. This updates instantly and never leaves your browser.
Assumes most missed callers never call back and only a share of them would have booked. A deliberately conservative estimate, not a guarantee.
A prospective client texts at 9pm asking about a filler appointment. The AI receptionist answers immediately, checks real availability, and books the slot. Three days out, a text reminder goes to their phone. The morning of, a second reminder confirms. No one on your team touched any of it, and the chair that would have sat empty is filled.
Lunch breaks, evenings, weekends. Every call and text gets a reply, not a ring-out.
A week out, a day out, and the morning of. Timed to catch people before they forget.
The system schedules, reminds, and follows up. Any clinical question is routed straight to your team.
Figures above are front-desk and appointment-behaviour benchmarks (Viva AI, the cited PMC study, and industry SMS and email data), not med-spa-specific measured results. The calculator uses a deliberately conservative recovery model. Flowziv is building its med-spa case studies now; this describes the pattern and the system we build. Any workflow that touches patient data is built with the proper compliance agreements in place.
An assessment call, no pitch. We look at how calls, reminders, and reactivation run today and show you the two to three highest-value places AI would fill the schedule.