02Dental careMid-sized organisation
Making appointment access easier across a dental group
Voice and digital journeys coordinate bookings, reminders and common administrative questions across four clinics.
Illustrative scenarioAll results shown below are modelled, not verified client outcomes.
THE OPERATING CONTEXT
A realistic starting point.
Reception teams balance people at the front desk with a constant flow of appointment calls. Peaks at opening time create queues, while cancellations are not always offered quickly to patients waiting for an earlier appointment.
THE AIIT SOLUTION DESIGN
A digital employee built around the work.
A governed digital employee handles non-clinical scheduling, confirms patient details, answers approved administrative questions and offers cancelled spaces to eligible patients. Clinical concerns and uncertain requests transfer to clinic staff.
END-TO-END WORKFLOW
From first contact to a useful outcome.
- 01
Recognise booking, change, cancellation or information intent
- 02
Confirm identity using agreed non-clinical checks
- 03
Read live availability by clinic and appointment type
- 04
Complete the permitted scheduling action
- 05
Send confirmation and preparation information
- 06
Transfer symptoms or clinical questions to a person
MODELLED OUTCOMES
What a well-run scenario could change.
Planning estimates only. Not a promise, forecast or report of actual AIIT client performance.
Admin calls completed
Vacated slots refilled
Reception capacity released
ASSUMPTIONS
The conditions behind the model.
These boundaries make the scenario interpretable. Change the demand, workflow mix, integration quality or adoption rate and the potential outcomes change as well.
Clinical advice remains entirely with qualified people
Appointment data is current and accessible through an approved interface
Identity checks are matched to the risk of each scheduling action
Staff review exceptions and failed confirmations each day
A CONTROLLED PATH TO VALUE
How this scenario could be implemented.
Separate administrative and clinical intents
Define appointment rules for each clinic
Connect scheduling and confirmation services
Pilot one clinic before a staged group rollout
DESIGN LESSONS
What matters beyond automation.
The safest design makes the clinical boundary obvious.
Cancellation recovery improves when availability and outreach share one workflow.
Reception teams need control over closures, exceptions and same-day rules.
About this scenario: AIIT created this fictional, anonymised operating example to support planning conversations. The figures are calculations based on the assumptions shown above; they do not represent an existing client, testimonial or guaranteed result.
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