Start with administrative reception
Opening hours, directions, first-appointment requests and collecting callback details are a starting point to discuss with a provider. Define which appointment types the assistant may book and which require practice confirmation.
For clinical or potentially urgent requests, the assistant should follow a practice-approved procedure and involve staff. Do not delegate diagnosis, treatment advice or clinical priority decisions to it.
Check practitioner, duration and resources
An examination and a hygiene appointment may need different durations and practitioners. Ask to test a booking when the requested practitioner is unavailable and one where the patient already has an appointment.
Public agendL Ai screenshots show a dashboard and practitioner calendar using test names. This documents the interface, not a connection to your management system. Separately verify reading, writing and synchronising appointments.
Test before using real data
Illustrative scenario: someone requests a first appointment on Friday afternoon, then changes their preference. Check that the service, date and callback details are confirmed and that no duplicates remain.
Next, test a request outside the administrative scope. The practice should receive the details needed for a callback through the agreed channel. Ask who checks open requests at the end of the day. Before real use, have your data protection contact review recording, access and retention.
Also compare your software's own phone service
If your software already offers phone and appointment management, check its costs and limitations. Adding a second system may require duplicate entries or manual checks.
Assess agendL Ai through a demo of the practice's administrative workflow. Include staff time spent checking and correcting appointments in the cost comparison. There are no published agendL Ai customer results yet to use as a forecast for your practice.