INInqariTurn every inquiry into a booked job

AI front desk for independent dental clinics

Not another dental chatbot. A shorter path to a confirmed appointment.

See how a patient can book an appointment directly inside ChatGPT. The assistant checks clinic-defined availability, presents eligible times, confirms the patient's selection, and adds the appointment to the clinic schedule.

Appointment assistantAuto playing
I need a regular dental checkup next week after 4 PM.

I’ll check the clinic schedule for regular checkups next week after 4 PM.

Demo uses sample clinic, schedule, and patient data. No real patient or clinic information is used.

01

Start in ChatGPT

The patient asks for a dental appointment without leaving the conversation.

02

See eligible times

The assistant checks clinic-defined availability and shows appointment options that fit the request.

03

Confirm in ChatGPT

The patient chooses a time, reviews the details, and confirms the appointment in the same chat.

04

Added to the schedule

The confirmed appointment receives a confirmation number and appears in the clinic schedule.

Workflow walkthrough

See the booking logic, not just a chat reply

The demonstration follows one narrow scenario end to end. It shows where structured UI, clinic rules, patient choice, and a saved record fit inside the same conversation.

  1. 00:00 Start in ChatGPT
  2. 00:12 Patient request
  3. 00:28 Check clinic-defined availability
  4. 00:32 Choose appointment options
  5. 00:56 Confirm appointment
  6. 01:00 Confirmation number
  7. 01:08 Clinic appointment list

Recorded with fictional clinic and patient data. No real patient information is shown.

From confirmation to record

The workflow ends with a structured result

In the demo, a confirmed selection receives a sample confirmation number and appears in a fictional read-only staff view.

Mock clinic recordDemo data
ConfirmationBSD-MQKIPYQ4
PatientAlex Morgan
Date and timeWednesday, 4:40 PM
ServiceCheckup + optional fluoride
Duration40 minutes
StatusConfirmed

Workflow boundaries

Decide what the assistant handles and when staff steps in

Each request follows a clinic-defined path. Routine booking can continue automatically. Exceptions pause for staff review. Clinical, sensitive, or unclear requests remain with people.

Automate

Assistant completes the booking

What happens

  • Match a supported routine request
  • Apply clinic-defined duration and availability rules
  • Let the patient choose the date, time, and optional service
  • Create a confirmation and show it in the demo schedule

End statePatient gets a confirmed time. Staff sees the appointment in the demo schedule.

Assist staff

Assistant prepares, staff decides

What happens

  • Gather missing non-clinical details
  • Preserve the request and booking context
  • Flag rescheduling, cancellation, or account lookup needs
  • Pause when no approved clinic rule applies

End stateStaff receives one prepared request and chooses what happens next.

Keep human-led

Assistant stops, staff takes over

What happens

  • Symptoms or possible urgency
  • Treatment recommendations
  • Complex billing or coverage questions
  • Sensitive, unclear, or conflicting requests

End stateNo booking action continues until qualified staff reviews the request.

Seeking three independent clinics

Show us where routine booking still needs staff intervention

We are looking for dental owners and practice managers willing to walk through their current process. The goal is to learn where a narrow assistant could help and where it should stop.

  • Where appointment requests arrive
  • How staff checks and changes availability
  • Which exceptions need judgment
  • What should be tested first

Questions before a review

Dental AI front desk FAQ

Is this a live dental booking product?

No. This page is an interactive demonstration using fictional clinic, patient, availability, and appointment data. It is not connected to a production dental practice.

Does the assistant replace the front desk team?

No. The goal is to explore which routine scheduling steps can be assisted while staff keep control of exceptions, sensitive requests, clinical questions, and final operating rules.

Can it connect to our current scheduling system?

That would need to be evaluated separately for each clinic. This demonstration does not claim a production connection to a practice management or scheduling system.

What happens when a request requires clinical judgment?

The workflow should stop and hand the request to qualified clinic staff. It should not diagnose, assess urgency, recommend treatment, or improvise outside approved scheduling rules.

How are optional services handled?

The booking flow shows one clinic-defined optional service and makes the choice explicit. It is not a treatment recommendation, and the patient can continue without adding it.

What patient information does this demonstration use?

Only fictional demonstration data. A production project would require a separate review of the minimum necessary data, permissions, retention, access, vendors, and communication channels.

What compliance review is required?

No compliance claim is made. A real implementation would require a documented technical, operational, vendor, privacy, and legal review before production use.

What happens in the 20-minute workflow review?

We map how routine appointment requests arrive, where staff check or change availability, which exceptions need a person, and which narrow step is worth testing first. Do not bring patient information to the review.