Patients message the clinic's Facebook Page with the same questions about services, location and appointments. Answering each one by hand takes staff time, and the answer a patient gets can depend on who happens to reply.
From patient inquiry to the right next action.
A proposal for a dental clinic in Laguna: a patient inquiry system designed to handle routine Messenger conversations consistently, while keeping appointments, uncertain requests, and human judgment with the clinic team.
See the real build ↓Messages arrive through Messenger into an n8n workflow. It loads the clinic's approved knowledge base from a Google Doc, and an AI assistant replies in English, Filipino or Taglish. It never invents prices, hours, availability or dentist names, never diagnoses, and points urgent symptoms to medical care. Anything outside the knowledge base, including booking, is referred back to the clinic.
Cropped straight from the editor it was built in. Click any canvas to inspect it full size.
Answers only from what the clinic approved.
Messenger messages arrive at one webhook: one path answers Facebook's verification check, the other keeps only real text messages. The clinic's knowledge base is loaded from a Google Doc, and the assistant replies in English, Filipino or Taglish. It never invents prices, hours or availability, never diagnoses, and refers anything it doesn't know back to the clinic.
Stage: Proposal. Prepared for a dental clinic and not yet adopted. Outcomes represent design objectives rather than measured results.