Most dental AI receptionist demos sound simple: answer the call, understand the patient, book the appointment.
The hard part is everything between "the patient wants a slot" and "the schedule is safe to write to".
Open Dental is a good example because practices often use it as the operational source of truth. The calendar is not just a list of open times. It carries provider rules, chair availability, appointment types, emergency capacity, hygiene cadence, recall logic, notes, and front-desk judgement that is rarely documented in one clean place.
When we design AI receptionist workflows for dental teams, the integration question is less "can the bot talk to Open Dental?" and more "what level of scheduling authority should the bot have?"
Here is the architecture pattern I trust.
