Section 6: CRM and Post-treatment Client Care
- Using AI to help care for clients and follow up appropriately (without medical advice)
- Preparing post-treatment follow-up messages and returning-client care
- Summarizing and categorizing client data for better care (on masked data)
- Workshop: prepare a client care and follow-up message set with AI
Section 7: Chatbots and Clinic Assistants
- Building a Custom GPT or Gem as an assistant answering customer questions on services and promotions
- Embedding service data and FAQ for consistent, on-brand results
- Connecting the assistant to LINE OA and handing off to the team when needed
- Workshop: build one clinic assistant to answer common questions
Section 8: Documents and Clinic Administration
- Using AI to help with documents, forms and clinic admin work
- Summarizing meetings and preparing basic operations reports
- Managing data and documents systematically, being careful with sensitive data
Section 9: Clinic Automation with n8n
- Setting up clinic automation with n8n, such as appointment reminders and confirmations
- Requesting reviews and following up with customers systematically
- Connecting data across channels for a complete customer view, with access control
- Workshop: design one simple automation flow for the clinic
Section 10: Ethics, Advertising, Data Security and PDPA
- Beauty-service advertising rules and ethical communication that doesn't mislead
- Client data is sensitive: what can and cannot go into AI, and masking data before use
- Personal and health data under PDPA and consent for using images and data
- Setting the clinic's responsible AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: set up an end-to-end AI toolkit for the learner's clinic work, from marketing and content and customer service to a clinic assistant and client care
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up ethical AI use for the whole clinic team