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How to Implement an AI Receptionist in a Dental Practice

A successful rollout is less about technology than about deciding clearly what the AI should do, what your team keeps, and how the two hand off.

Published by Sera for Dental · September 29, 2026

How do you implement an AI receptionist?

Map why patients call, decide which of those calls are repeatable enough for AI, prepare accurate information and clear rules, test realistic scenarios, and start small before expanding.

The framework below is product-neutral. If you are still deciding what the category covers, start with what an AI dental receptionist is.

A 12-step implementation framework

  1. Map why patients call. List the reasons people call over a typical few weeks — new-patient inquiries, scheduling changes, hours and directions, insurance questions, clinical concerns. This is the foundation for every later decision.
  2. Separate repeatable from judgment-heavy work. Sort those reasons into calls that follow a predictable pattern and calls that need judgment, empathy or clinical knowledge.
  3. Decide what AI should and should not handle. Start with the repeatable work. Keep clinical matters, complaints, sensitive conversations and unsupported requests with your team.
  4. Prepare accurate practice information. Hours, locations, services, parking, policies and common answers. An AI receptionist can only be as accurate as the information it is given.
  5. Define appointment and scheduling policies. Which appointment types can be booked automatically, which need staff approval, and how rescheduling and cancellation should work.
  6. Define escalation rules. Who should receive which calls, when to transfer versus take a message, and how urgent or after-hours concerns are handled.
  7. Decide how the PMS should interact with the AI. Whether the AI should read from and write to your practice management system, and which system stays the source of truth.
  8. Configure call routing. Decide when calls reach the AI — overflow, after hours, all calls — and how callers reach a person.
  9. Test realistic scenarios. Before going live, run through the scenarios below and confirm the outcome is what your practice expects.
  10. Train staff on exceptions and handoffs. Your team should know what the AI handles, where to review its work and how to pick up calls it escalates.
  11. Start with bounded workflows. Begin with a narrow set of call types or hours rather than everything at once.
  12. Review failures and expand deliberately. Look at calls that were escalated or went wrong, adjust your information and rules, and only then widen the scope.

Scenarios worth testing

These are testing scenarios, not a list of what every product can do. The goal is to see exactly how the system behaves — including when it should hand off.

  • New-patient inquiry
  • Reschedule an existing appointment
  • Cancellation
  • Office-hours question
  • Insurance question
  • Caller asks for a person
  • Requested time is unavailable
  • Practice management system is unavailable
  • Ambiguous request
  • Unsupported request

For each, note whether the call was completed, recorded for follow-up, or escalated — and whether that matches your policy.

Where your practice system fits

If the AI connects to your practice management system, decide up front which system is authoritative and what happens when it is unavailable.

For Open Dental practices, see how Sera works with Open Dental.

Keep people in the loop

An AI receptionist takes repeatable work off your team; it does not replace the people who handle judgment, care and exceptions.

If after-hours coverage is your main goal, see Sera as a dental answering service, or read about the Sera AI front desk as a whole.

Start with a bounded rollout

Try Sera free, or ask our team to help you plan your setup.

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