Practice admin, handled quietly.

These are illustrative workflow scopes. The audit checks the actual software, supported access, licences, permissions and human review rules before a build is agreed.

Where the hours go in a dental practice

Most of the time a practice loses is not clinical. It is the reception phone, the recall list and the inbox. Every appointment needs a reminder, every reminder produces replies, and every reply needs someone to read it and update the diary. Recall runs are the same story on a bigger scale: patients fall due every day, and the list only gets worked when someone has a quiet afternoon.

This is the kind of work AI handles well, because it is repetitive, rule-based and written in the practice’s own words. The practice management system already knows who is booked, who has cancelled and who is due. Dentally, for example, publishes a REST API that covers appointments, patients, invoices, NHS claims and referrals. An automation reads that data and sends the right message at the right time, instead of a person working from a printout. Software of Excellence, the other widely used UK practice system, covers the same ground from the practice’s side; the AI Opportunity Audit checks what can be connected before anything is scoped.

What stays with the dental team

The line is clear, and it is drawn before anything is built. The GDC’s Standards for the Dental Team set out the standards of conduct, performance and ethics that govern every registrant, including keeping patient information confidential and making sure anything said to patients, in a reminder, a reply or a marketing message, is accurate. Health information is also special category data under UK GDPR, which the ICO says needs extra protection because of the risk to a person’s rights if it is mishandled.

The CQC’s position on AI in health and social care, published 21 May 2026, states plainly that “AI can enhance, but not replace human decision making,” and that providers must keep it monitored, with clear routes for fixing anything that goes wrong. Put together, that means three rules for a dental practice. Automations never give clinical advice or assess symptoms: urgent problems are routed to the practice and, as the NHS advises, to NHS 111 for anything that cannot wait. Automations only touch the data a task needs: a reminder needs a name, a time and a contact route, not a medical history. And anything sent to patients in the practice’s name is written in wording the practice has approved, because the GDC expects information and advertising to be accurate.

Starting small: one workflow, then the next

The sensible first build is usually the one costing reception the most time, often reminders or the recall run. It is scoped as a single fixed-price Automation Sprint, tested against the practice’s real booking data where the software allows a sandbox, and handed over with a plain-English walkthrough. Once it has run for a few weeks and the team trusts it, the next job, enquiry replies or form chasing, builds on the same connections.

the AI Opportunity Audit is where this starts. It maps the jobs the front desk repeats each week, puts a time cost on each one, and says honestly which are worth automating and which are better left as they are.