A med spa consultation enquiry has an unusually short half-life and an unusually long decision cycle. It arrives at 10pm on a phone, and it converts eleven weeks later — if anyone is still talking to it. Ava catches the first half. Tessa handles the eleven weeks.
An aesthetic enquiry arrives late and converts slowly. Four hands cover the distance between those two facts — this is the order they take it in.
Evening and weekend enquiries from social and web forms are responded to on arrival, the treatment interest is qualified, and the consultation is booked.
Same eveningElective treatment is a considered purchase. The follow-up sequence continues across weeks and months without anyone at the front desk having to remember it.
Sequence livePost-treatment interactions and the cadence windows where retention is actually decided, handled across the platforms you already use.
Cadence keptPromotional content and campaign activity produced on an ongoing cadence, tracked against results, so the rest of the roster has something to work.
Campaign onAesthetic enquiries do not respect opening hours — they come in from social and web forms in the evening and at weekends. Ava responds while the person is still holding their phone, qualifies the treatment interest, and books the consultation.
Elective treatment is a considered purchase. Tessa runs a personalised sequence across weeks and months — the follow-up that a busy front desk starts with good intentions and abandons by week two.
Russell manages the post-treatment interactions and rebooking windows where retention is actually decided, closing the response-time gap that quietly loses regulars to the clinic down the road.
Generic voice AI fails in specific ways in every industry. These are the three that matter in med spa practices, and how they are handled during setup.
The same compliance posture that serves dental practices applies here. Treatment enquiries are health information and are handled as such.
The AI is trained on your actual treatment menu, pricing structure and the fifty questions your team answers most, so it speaks in your language rather than generic aesthetics copy.
You define what the AI must never handle alone. Anything past that line is routed to a named person with the full transcript attached, rather than being guessed at. Human oversight is a design requirement, not a fallback.
Setup is $3,000 per AI Employee, or $10,000 for four under the Go All In plan. Published on the pricing page, not held behind a form.
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Bring your call log to the call and we will work through your actual numbers rather than an industry average.
Book my demoOr call +1 813-252-1961 directly. See all industries.
