Description
Most clinics adopting AI cannot tell you what it costs them per booked patient. That is the actual problem.
The market is saturated with training that shows you how to generate a social caption. Very little of it shows you how to run an AI stack as a line item — with a cost, a yield, and a decision rule for switching it off.
This half-day course covers the commercial half of AI adoption in aesthetic practice: bringing in patients who fit your procedure mix, converting them without discounting your way into a low-margin book, and keeping AI spend proportional to what it returns.
Scope note: this is a business and operations course. It contains no clinical content, no injection planning and no complication management. Those live in Courses I, II and the Clinical Copilot Intensive.
Curriculum
Module 1 — Positioning Before Tooling (45 minutes)
Why most AI marketing fails at the strategy layer, not the tool layer. Defining a procedure-led rather than price-led position. Building an AI research assistant that maps your actual competitive set instead of flattering you.
Module 2 — Content and Search in the Generative Era (60 minutes)
Search behaviour has moved. Patients increasingly ask an assistant before they open a browser. What it takes to be cited by a generative engine rather than merely ranked by a search engine: entity clarity, structured data, source authority, and the content forms models actually retrieve.
Module 3 — Enquiry to Consultation (45 minutes)
AI-assisted enquiry triage and qualification. Response-time economics. Chat and messaging workflows that filter rather than merely capture. Templates for the enquiry types that waste the most chair time.
Module 4 — AI Unit Economics (60 minutes)
The core of the course. Cost per generated asset, cost per qualified lead, cost per booked procedure. Model selection by task rather than by habit — where a small, inexpensive model outperforms a premium one, and where paying more is the correct decision. Batching, reuse, template libraries and caching strategies that cut recurring spend substantially without degrading output. You leave with a one-page monthly AI profit-and-loss sheet, already built.
Module 5 — Retention, Recall and Lifetime Value (30 minutes)
Thread-lift patients are a recall business, not a transaction business. Recall sequencing, revision timing, membership structures, and AI-supported re-engagement that does not read as automated.
Module 6 — Compliance, Claims and Brand Risk (30 minutes)
Advertising standards for medical aesthetics. Before-and-after and testimonial rules. Patient data inside marketing workflows. Disclosure of AI-generated content. The specific claims that trigger platform rejection and regulator attention.
Who this is for
Clinic owners, medical directors, practice managers and solo practitioners responsible for revenue. Non-clinical staff may attend when enrolled under a licensed practitioner.
What is included
- Half-day live online session, with recording access
- The Practice Growth Prompt Library
- Pre-built AI cost-tracking spreadsheet
- Enquiry triage and recall template sets
- Compliance checklist for aesthetic advertising
- Certificate of completion
What is not included
Clinical content of any kind. CME credit. Any specific vendor licence or platform subscription.
Frequently asked questions
Is any of this clinical?
No — deliberately not. It is business, marketing and operations. No injection content, no anatomy, no complication management.
I already run ads. Will this be too basic?
The positioning and content modules will overlap with what you know. Module 4, AI unit economics, is where most experienced operators find the new material, because almost nobody is currently measuring it.
Does this teach a specific platform?
No. It teaches selection criteria, cost modelling and workflow design that survive vendor churn. Naming a platform in 2026 dates a course by 2027.
Can my marketing manager attend instead of me?
Yes, when enrolled under a licensed practitioner. Many clinics send both — the cost-modelling module works considerably better with the person who owns the budget in the room.
How much can I realistically expect to save on AI spend?
That depends entirely on how you are running it now, and we will not quote you a number we cannot stand behind. What we can say is that the most common pattern we see is a premium model being used for tasks a cheap one handles identically. Module 4 is built to find that pattern in your own stack.
Taught by Wen Hsien Ethan Huang, MD — holder of thread-lift instrument patents in Japan, Germany, the European Union, mainland China and Taiwan.
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