The real problem, not the generic one.
In aesthetics, price is the first thing people ask, and the front desk gets swamped answering the same thing fifty times a day. Meanwhile, the person who was actually going to book waits forty minutes and goes cold. The agent takes over the entire first stretch and frees the front desk for what truly needs a person.
The usual five, answered instantly.
So your team only talks to people worth their time.
The part nobody shows you in a demo.
No made-up numbers.
The front desk stops being a call center. The agent handles the information stage (what the treatment is, the clinic's price range, what the consultation involves) and only hands off to a person when there's intent to book or when the question requires clinical judgment.
What's specific to this industry.
During the diagnosis, we build the treatment catalog with the price ranges the clinic approves for sharing, the real duration of each type of consultation, and which practitioner handles what. Without that, the agent books wrong and the calendar pays the price.
The four build phases and timelines are on the AI agency page; the method applied to the entire sales function is in our method.
What clinics ask before signing on.
Two to four weeks from the moment we have the information: treatments, qualification criteria, schedule, and what it can and can't say. The slow part is never the technology; it's agreeing on those rules with the clinic.
The list of treatments with their approved price ranges, who handles each one, the real schedule, and the cases where the conversation has to go to a person. We don't make up any of it: it comes out of a working session with the clinic.
Only the ranges the clinic approves in writing, and always making clear that the final price depends on the consultation. That way you don't burn the lead with silence or commit to a price you can't hold later.
It doesn't interpret it. It thanks the patient, attaches the photo to the CRM record for the practitioner to review, and steers the conversation toward a consultation. An agent that gives opinions on a clinical photo is a liability, not a feature.
Yes. The agent books directly into the clinic's real calendar, with the duration and practitioner that match each type of consultation. It doesn't keep a separate list that someone has to copy over later.
Yes. It asks for the city or area, offers the right location and books into that location's calendar. It can also route by practitioner when a patient asks for someone specific.
No. A chatbot replies with pre-written phrases: if the question doesn't fit any of them, it gets stuck or answers with something random. An agent understands what people write, checks the clinic's real information and also takes action: finding open slots, booking the appointment, logging the record in the CRM. You see the difference the day a patient asks something nobody anticipated.
No, it connects to the one you already use. The agent handles the conversation and the booking; your software keeps managing medical records, payments and inventory. If the clinic has nothing in place, we set up the CRM, but that's a separate project and we discuss it upfront.
Not on its own. The agent does a better job with the people who are already writing in: it replies within seconds at any hour, filters out those who are just curious and books the ones who are serious. If nobody is coming in, the problem is further upstream, in lead generation, and that's fixed with the sales process and paid ads, not with an agent.
Same agent, different rules.
Next step
By the end of the diagnosis, we'll know whether an AI agent is what your operation needs right now, or whether something else has to be sorted out first. If it's the latter, we'll tell you.