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DCRM

Case studyAI Voice Receptionist™

The AI read out the times, took the answer, and booked it

Liza Choa1 min read

DCRM case study, AI Voice Receptionist™: booked in 192 seconds. The AI answered the phone, read out the free times, and booked it. No human involved.

Quick answer

Can an AI voice receptionist book a dental appointment on its own?

Yes, where the AI can access the calendar. At one implant practice a caller rang at 11:46am on a Monday, and the AI read out 2 real times, took the answer, booked the appointment and confirmed the email address in 192 seconds.

A prospective patient rang an implant centre at 11:46am on a Monday morning enquiring about dental implants. 192 seconds later, they booked an appointment 2 days later at 4:30pm on the Wednesday, and nobody at the practice had been involved in any of it.

The numbers

On the call
192seconds
Humans involved before the booking
0
Forms submitted
0
Case value
$5,000
Monday 31 August
  1. 11:46amCall received. The AI answers
  2. 11:51amOpportunity created
  3. 11:53amBooked In
  4. Wednesday 2 September, 4:30pmThe appointment it booked

The treatment was an implant procedure.

What the AI recorded

This is the note the voice AI wrote on the record, word for word, with the caller’s name and the practice’s taken out:

  1. The AI’s note on the record

    Call Duration: 192 seconds Call Summary: [The caller] called [the practice] to book his implant procedure after having his wisdom tooth removed. The agent provided available slots, and [the caller] chose 4:30 PM on Wednesday, September 2nd. The appointment was successfully booked, and the agent confirmed [the caller]’s email address and informed him about the confirmation SMS. Fetched info: Preferred Time: 4:30 PM Enquiry Notes: I am booking to have my implant procedure started, please.

Read the bolded bit again. Not “the team will confirm”. Booked.

In plain English

The caller had already had a wisdom tooth out and wanted to get on with the implant. That is not a simple enquiry. It has a clinical sequence behind it and a patient who knows what they want.

The AI understood it, opened the calendar, read out what was actually available, let the caller pick, took the booking, confirmed the email address and told them a text was coming.

That is the entire job of a front desk coordinator taking a booking, done at 11:46am on a Monday in just over 3 minutes.

Frequently asked questions

Did the AI really make the booking, or did a person?

The AI. Its own note says the appointment was successfully booked, the opportunity source is the phone call, there is no form on the record, and no human note exists before the stage moved at 11:53.

How long did the AI voice booking take?

192 seconds on the call. The opportunity was marked Booked In 7 minutes after the call started.

How often does an AI voice receptionist complete a booking on its own?

Rarely, and only where the AI holds the calendar. 5 completed AI bookings across the 369 appointments I reviewed, all at 1 practice.

Where does the $5,000 come from?

It is the case value of an implant, taken from what the caller said on the call. There is no treatment field on this record, so it is a table value, not a quote.

Written by

Liza Choa

Liza Choa is the founder of DCRM and Practice Growth Studio, a boutique dental marketing agency working behind the scenes with some of the most respected dental practices in Australia. She has spent over a decade helping practices grow and scale.

She built DCRM after seeing the same problem in practice after practice. The enquiries were already there, but the new patient numbers did not reflect it. DCRM bridges that gap, so practices increase the return on the marketing they are already paying for.

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Disclaimer: The figures in this case study reflect the results of one dental practice over a defined period, and were taken from that practice’s DCRM account at the date stated. The practice is not identified, and identifying details have been removed or generalised. Results vary between practices and depend on factors outside the platform, including enquiry volume, treatment mix, pricing, location, team capacity and how consistently the practice follows up. These figures are not a prediction, projection or guarantee of the results any other practice will achieve. Data is reported as recorded in the platform and has not been independently audited. No patient information is disclosed.

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