Editorial review
This article is reviewed by the Yanitly editorial team for product accuracy, privacy and security claims, and integration references. Technical claims are kept aligned with official documentation or observed Yanitly product behavior.
Updated: 2026-10-18
In medical aesthetics clinics, dermatology practices, hair restoration centers, and podology clinics, the first contact rests on a delicate balance. When people reach out on Instagram DM, WhatsApp, or the phone, they often ask about price first: "How much is lip filler?", "How many sessions does pigmentation treatment take?", "Can an ingrown toenail be fixed in one visit?" Yet quoting a firm number or session count before a specialist has seen the skin, lesion, or nail bed undermines trust and creates the wrong expectations.
Yanitly brings per-service price visibility, mapping of everyday language to the right service, safe routing for red-flag symptoms, and post-treatment check-up invitations together in our clinic appointment system.
In medical aesthetics and podology, the assistant's job is not to recite a price list; it is to apply the clinic's pricing decision to the letter and prepare the patient for the right consultation.
In standard retail, every item can carry a fixed price tag. In medical aesthetics, dermatology, and podology, the protocol is personal. A single number given on the phone leaves the patient feeling misled if the examination reveals a different need. On the other hand, sharing a starting price for some standard care or assessment appointments makes the decision easier.
The main communication risks clinics face are:
In Yanitly, the clinic manager chooses one of six price visibility options for each service in the catalog:
These rules are not left to an instruction sentence. For services marked on request or hidden, the internal price and deposit amount never enter the information the assistant uses; the assistant cannot say a number it does not know. If a price setting is broken or incomplete, the system does not fall back to the internal price; it treats the service as on request. Deposit notes appear only when a deposit is actually defined for that service.
The phone assistant and the WhatsApp and Instagram assistant use the same approved price text. A patient who asks the same question by phone in the morning and by message in the evening will not hear two different numbers.
Patients do not use clinical terms when they write or call. Yanitly's service matching layer maps the patient's wording to the clinic's real service cards and the aliases you add to them.
Whenever the assistant cannot match a phrase to any service, the phrase is collected in a list in the panel. The list contains no personal data or message text; it shows only the term and how many times it appeared. When you add the term to the right service as an alias, the next conversation matches correctly.
For example, once your clinic defines suitable aliases, phrases like these route to the right service:
Podology centers also have a sector-specific behavior layer, and panel copy is written separately for each sector, so a podology clinic's screen never shows examples from another industry.
The AI assistant is designed not to diagnose or recommend treatment. When a patient describes a situation like the ones below in a message or call, the assistant does not suggest a home remedy or intervention; it reminds them to see a doctor or seek emergency care if needed and routes the conversation to the clinical team:
This warning is given once per conversation, so the patient is not met with the same sentence again and again. The rules against diagnosing and recommending medication sit in a fixed safety layer that business rules cannot change.
Procedures such as fillers, laser protocols, or podology brace treatments may need a check-up on a specific day. When you define a check-up interval on the service card, the patient receives a check-up invitation that many days after the appointment is completed. For patients who have not visited in a long time, reminder rules are set up on the Recall screen.
Some procedures require a consent form before the appointment. The assistant checks whether the requested service needs consent and, if so, a signature link is sent to the patient after the appointment is created. Consent texts are templates your clinic can edit and should be used after review by your legal advisor.
Botulinum toxin, fillers, and similar products are kept in the panel with lot numbers and expiry dates. Expired and soon-to-expire lots are flagged, and you can trace which lot was used for which patient.
Aesthetics and podology patients often discover a clinic on Instagram, send a DM in the evening, and call the next morning. When these channels come together in one inbox, the coordinator sees which treatment the patient is interested in, whether they have visited before, and which specialist they prefer on the same screen. The consultation is booked without asking the same questions again, and the team is prepared by the time the patient arrives.
For reliable price communication and fast booking in your practice, follow this sequence:
For multi-session packages and weekly appointment tracking, see our guide on session packages and appointment tracking for psychology, dietitian, and physiotherapy practices.
Yanitly helps clinics collect patient appointment requests through WhatsApp, web and voice AI, reduce no-shows and keep privacy-aware records.
Digital odontograms and treatment planning in dental clinics, the kiosk and reception robot check-in pilot, price visibility in aesthetics and podology, and therapy session automation.
Each service is set to exact, starting from, range, on request, free, or hidden. For on-request or hidden services, the internal price and deposit amount never enter the information the assistant uses, and if a setting is broken the system does not fall back to the internal price.
The service matching layer maps the patient’s wording to service cards and the aliases you add to them. Unmatched phrases are collected in a panel list without personal data; once you add a term to the right service as an alias, the next conversation picks the correct service.
The assistant is designed not to diagnose or suggest home care. For signs such as a diabetic wound, bleeding, spreading redness, or a severe reaction, it reminds the patient to see a doctor or seek emergency care if needed and routes the conversation to the clinical team; the warning is given once per conversation.
When you define a check-up interval on a service card, the patient receives a check-up invitation that many days after the appointment is completed. When the patient replies, the assistant offers available calendar times, and separate Recall rules can be set up for patients who have not visited in a long time.
