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Case studyAI Text Receptionist™

A Sunday morning enquiry became a $20,000 booking in 2 minutes

Liza Choa2 min read

DCRM case study, AI Text Receptionist™: $20,000 booked in 2 minutes. A Sunday morning enquiry at 9:09, booked by 9:11, with nobody at the practice.

Quick answer

Can an AI text receptionist book a dental appointment on a Sunday?

Yes, when it has a live calendar to book into. At one implant practice, a Meta lead form came in at 9:09 on a Sunday morning. The AI replied in the same minute, offered 2 real appointment times, and had a $20,000 full arch consult booked by 9:11, with nobody at the practice.

$20,000 of full arch implant work, booked by the AI Text Receptionist™ at 9:11 on a Sunday morning, 2 minutes after the enquiry landed. The practice was shut. 8 messages, 5 of them automatic, nobody from the team within reach.

2 minutes is fast enough that people assume I have rounded something. I have not, and the timestamps are below.

The numbers

From the enquiry to a booking
2minutes
Messages exchanged
8
Messages from a human at the practice
0
Case value
$20,000
Sunday 30 August
  1. 9:09amMeta lead received
  2. 9:09amFirst AI message
  3. 9:10amPatient replied
  4. 9:11amBooked into the calendar

The treatment was full arch implants. The enquiry came in through a Meta lead form.

The whole conversation

There is not much of it, which is the point.

Text messages · Sunday 30 August
  1. AI · 9:09am

    Hi, Zoe here from [the practice]. =)

  2. We got your enquiry. Would you like me to help you find the next available spot?

  3. Patient · 9:10am

    Yes

  4. AI · 9:10am

    Checked [the dentist]’s calendar, two options: Wed 2 Sep, 4pm / Sat 5 Sep, 10am. Both run 30 mins. Which suits? Or tell me a day that works better.

  5. Patient · 9:11am

    Wed

  6. AI · 9:11am

    Your booking request with [the dentist] on 2 September 2026 at 4:00 PM has been received.

Then the confirmation and the address. That is the entire exchange.

In plain English

A prospective patient filled in a Meta lead form on a Sunday morning. On a normal Sunday, that form sits in an inbox until Monday, someone rings at 10am, they do not pick up because they are at work, the practice tries again Tuesday, and by Wednesday they have booked with whoever answered.

Instead they got a reply in the same minute, 2 real appointment times, and a confirmed booking before they had finished their coffee.

Frequently asked questions

Does the AI text receptionist work outside business hours?

That is most of what it is for. This booking was made at 9:11 on a Sunday.

What if nobody replies to the AI’s first message?

The sequence follows up. It does not send the same message twice.

Can the AI text receptionist book into our practice management system directly?

At this practice it books into a live calendar, which is why it can offer real times. Practices on a separate practice management system usually need an integration step first, and we will tell you before you sign anything whether yours can do it.

Does the AI text receptionist handle more than one treatment?

Yes. The treatment comes through on the lead and the conversation is set up around it.

Is the $20,000 revenue in the bank?

No. It is the case value of a full arch patient, which is what the booking is worth to the practice.

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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