AI receptionist for dental practices: 12 questions to ask

A dental receptionist is doing more than answering a phone. While the front desk helps someone at the counter, another caller may want to change an appointment, ask about a consultation or explain an urgent concern. An AI receptionist for dental practices can handle some of that administrative conversation, but the decision to use one should start with the calls your team actually receives.

What should an AI receptionist for a dental practice actually do?

It should answer the administrative calls you choose, collect enough detail to route each enquiry and offer an appropriate next step. It should not diagnose symptoms, promise a treatment outcome or pretend to be a dentist. A good buying exercise is to test real call journeys: routine booking, rescheduling, a caller unsure what to book, a patient wanting a person, and a potentially urgent concern. The twelve questions below turn that exercise into a practical procurement brief.

Keep one person responsible for the project: usually the practice manager or senior receptionist. Ask the vendor to demonstrate the same scenarios using your intended phone routing, hours, booking rules and escalation contacts. A polished generic demo tells you less than watching what happens when the caller changes their mind halfway through.

1. Map the callerStart with your own enquiry types.
2. Set the boundarySeparate admin from clinical decisions.
3. Test the next stepBooking, request or human handoff?
4. Review the recordCan staff see and act on it?

Questions 1–3: which calls, and at what moment?

1. Which calls are eligible for AI handling?

Write down the kinds of calls your practice is happy to route through an automated front desk. A new patient asking for an appointment and an existing patient changing a time may both be administrative; a caller describing swelling or pain needs a clearly different path. Decide who approves the scripts and where the AI must stop and involve staff. If the vendor says it can do everything, ask for the specific boundary rather than accepting the slogan.

2. When should it answer?

Decide whether the main job is after-hours coverage, chairside overflow when the team cannot pick up, or a defined part of the ordinary call queue. These are different tests. For overflow, check what happens if the front desk is busy for a moment; for after-hours, check what the caller is told about response times. Document your own opening hours and the contact path when the practice is closed.

3. What happens when the caller changes topic?

A caller may start with “I need to book” and then ask about cost, a treatment plan or a symptom. Ask the vendor to show the conversation changing course. The safest configuration captures the new request and directs a clinical or complex question to a person. It should not invent a fee, provide clinical advice or put words into a dentist’s mouth. Keep pricing and treatment questions for the authorised team.

Questions 4–6: booking, information and handoff

4. Is it making a confirmed booking or taking a request?

This distinction matters to patients and the team. Ask the vendor to show the exact message a caller receives. If a calendar connection is not available or the slot needs staff review, say “we have your request; the team will confirm it” rather than “you are booked”. Check whether the system knows the right appointment type, duration and dentist depending on your calendar or practice software setup. A new-patient consultation is not interchangeable with a treatment appointment.

5. What information does it collect, and where does it go?

Ask for the minimum information the team needs to reply: contact details, reason for the enquiry in the caller’s own words and an appropriate callback preference. Avoid asking the caller to recite more health detail than the process needs. Check how staff see the request, who owns it and whether the conversation is available to the people who need to respond. If a message is left overnight, decide who checks the queue first thing in the morning.

6. How does a caller reach a human?

Ask for a live demonstration of the handoff: during opening hours, when no one answers, and when the practice is closed. The system should tell the caller what will happen next, without claiming that someone has already called them. For a potentially urgent concern, the practice must set a safety instruction approved by its clinicians; AI should not assess urgency or substitute for a professional. Record how unresolved calls are flagged for review.

Use that diagram as a test, not a claim about any particular vendor. At each arrow, ask who is responsible, what the caller hears and what appears in the team’s queue. If nobody owns a step, the conversation can stall even though the first call was answered.

Ask the receptionist who handles the hardest morning shift to score this journey. Could they tell at a glance whether the caller asked for a particular dentist, whether the practice offered a time, and what was still outstanding? Keep the review focused on next actions rather than how human the voice sounds. If the answer is unclear, change the handoff before widening the pilot. A caller should not have to repeat an entire enquiry because the team received only a vague summary.

Questions 7–9: privacy, records and practice software

7. How are caller details handled?

Ask where recordings and transcripts are stored, who can access them, how long they are kept and how corrections or deletion requests are handled. Request a written explanation rather than a broad “secure” badge. Healthcare practices have additional responsibilities when handling patient information. The OAIC’s guidance on communicating with patients distinguishes care-related contact from direct marketing; check the purpose of each message and the information used. Let your privacy adviser review a proposed workflow if necessary.

8. Which practice-software connections exist today?

Ask the vendor to distinguish a live integration from a planned one, and a two-way diary connection from a manual handoff. Check the current DrKing integrations page before assessing a DrKing setup. For each workflow, request a demonstration with the actual practice software or a plainly labelled test environment. Your team needs to know where a booking or message appears and whether someone must re-enter it; never infer automatic PMS write-back from the word “integration”.

9. What does an administrator see after the call?

Request a walkthrough of the inbox: caller identity, message summary or transcript, pending action, time and named staff owner. Ask what happens with repeat callers and duplicate enquiries. Can the team return to the original conversation without hunting across channels? A usable record gives reception context for a respectful callback; an unreadable pile of transcripts merely moves the workload. Ask staff to try the screen, not just the practice owner.

Get the operational answers in writing: who can change scripts, who can retrieve a call record, what happens when the usual staff owner is absent, and how a team member marks a task complete. Use the written answers to train reception and to decide whether the pilot is ready. This keeps the buying conversation grounded in what happens on a busy Monday, not in an abstract list of software features. It also makes it easier to spot a promised capability that has not been demonstrated in your own configuration.

Questions 10–12: testing, communication and measurement

10. How will you test failure paths before switching on?

Run test calls from outside the practice. Try silence, a dropped connection, a caller who says “I would like a person”, a question the system cannot answer and a booking request with missing details. Check what appears in the staff queue and what the caller is told. Keep a simple test log with the scenario, expected next step, actual response and owner of the fix. Re-run it after changes to hours, staff or booking rules.

11. What message follows a missed call or an unfinished enquiry?

If a caller did not get through, a text-back may invite them to reply, but it should identify the practice and not assume a booking. For any marketing SMS, check permission, sender identification and a functional opt-out; ACMA’s spam guidance explains these requirements and notes that some alphanumeric sender IDs cannot receive a STOP reply. Keep care reminders separate from promotional campaigns and review their purpose before sending. Here is a neutral example to adapt only where contact is appropriate and the sender can receive replies:

The reply above is invented solely to show the workflow, not an actual patient or a result. Confirm whether your SMS number can receive STOP replies before using that wording. If it cannot, provide a working alternative unsubscribe route. Do not add a treatment name or sensitive detail to an automated message merely to make it sound personal.

12. Which outcomes will you count?

Separate answered calls from useful conversations and confirmed bookings. Decide how the team records a request that needed human follow-up, how it records a caller who declined, and whether a booking was actually confirmed. Compare a practice-defined starting period with the new workflow, using consistent definitions, without treating an answered call as a patient or a clinical result. Discuss the review rhythm with reception and adjust scripts when the handoff creates extra work.

The twelve-question buying checklist

Print this list for a vendor demonstration. Ask for an answer in the context of your dental practice, not a standard slide deck. Have the front desk test the handoff and the clinician sign off on clinical boundaries. Put unknowns in the pilot plan rather than quietly treating them as features.

• Which call types can the AI handle, and which go to staff?
• Does it answer after hours, during overflow or both?
• How does it respond when a caller changes topic?
• Is each outcome a confirmed booking or a request?
• What information is collected and who receives it?
• How can a caller reach a human?
• Where are recordings and transcripts stored and controlled?
• Which practice-software connections are live for us?
• What does reception see in the action queue?
• What happens when a call or workflow fails?
• How are follow-up messages and opt-outs handled?
• How will we define answered, handed-off and booked?

How do you run a fair pilot?

Pick a limited call pathway and document your starting point before turning it on. Give staff a way to flag confusing calls and let callers reach a human. Review examples together; do not measure only the most successful demo calls. If a handoff repeatedly requires reception to chase missing details, change the questions the AI asks or narrow its scope. A small pilot is easier to inspect than an all-at-once change across every number and opening hour.

1. Before the pilotAgree call types, staff owners, boundaries and the current process.
2. During the pilotCheck the queue and sample difficult calls with the team.
3. After the pilotCompare your defined measures; revise the handoff or stop the pathway.

Keep the review human-led. The practice manager can own the administrative process, but only a clinician should decide clinical guidance. When promotional wording is involved, Ahpra’s advertising summary warns against misleading claims, unnecessary use of health services and clinical testimonials. This is a compliance check for real-world messaging, not an SEO tactic.

Before the pilot ends, ask staff whether callers understood the difference between a request and a booked appointment. Look at the enquiries that needed a second call: was the missing information predictable, and could a simpler prompt have captured it? Review opted-out contacts and messages that should not have been sent. If the process creates avoidable rework, the right conclusion may be to keep AI only on after-hours enquiries while the practice fixes its booking rules. There is no prize for expanding a pathway that reception cannot reliably finish.

Where DrKing fits

DrKing offers an AI voice receptionist, two-way patient communication, missed-call text-back, an inbox for leads and conversations, and online booking for dental practices. The team can also use reminders and follow-up for people who accepted a treatment plan but did not book or return. How a booking or message connects to practice software depends on your setup; do not assume automatic diary updates or PMS write-back. Explore the dental practice hub, AI voice receptionist and missed-call audit to frame your own demonstration questions.

Compare the vendor’s answers with a real call from start to finish: caller intent, AI response, human review and confirmed next step. The technology is only useful when those steps make sense to the people answering for your practice.