AI and automation for clinics
A clinic’s phone rings out during treatment by design, no-shows cost a knowable amount every week, and recall lists leak revenue quietly from a spreadsheet. All of that is admin, and admin automates well. The clinical side is not touched: no advice, no triage, no symptom interpretation, ever.
Book the free AI consultationAstraeus builds this for owner-operated Irish clinics: dental, physiotherapy, chiropody, opticians and allied health. Veterinary practices have their own page, because the systems and the recall mechanics genuinely differ. The work sits around the practice management system you already run, not instead of it: catching the calls that ring out, confirming and reminding so fewer people no-show, driving recalls from your own data, and moving intake forms off the clipboard.
The boundary does most of the talking in this sector, so it comes first: these builds handle appointments and administration only. If a message contains a clinical question, it routes to a person, unanswered. Patient data is treated as health-adjacent: EU-hosted tools, no training on patient data, minimum necessary data in any workflow, and a documented data path you can show anyone who asks.
Workflow catalogue
Each row is a pattern to assess, not a claim that every business should implement it.
Before
The phone rings during treatment; the caller books elsewhere or forgets.
After
A missed call gets a text back within a minute, and booking requests from the website land in one list for reception.
Human checkpoint
Reception confirms every booking; nothing is scheduled automatically.
Before
Reminders are a manual ring-around when someone has time, so they happen unevenly.
After
Confirmations and reminders go out automatically with a one-tap reschedule, so cancellations become rebookings instead of empty chairs.
Human checkpoint
Exceptions and special cases land with reception.
Before
Six-month checkups, boosters and reviews tracked in a spreadsheet that slips when the clinic gets busy.
After
Recall sequences run from the practice system’s own data, per patient type, until the appointment is booked or the patient opts out.
Human checkpoint
The clinician sets recall intervals; nothing clinical is generated.
Before
A clipboard at the front desk, retyped or scanned after the appointment.
After
Digital pre-appointment forms arrive filed before the patient does, with incomplete or inconsistent answers flagged.
Human checkpoint
The clinician reviews; forms inform, they never decide.
Before
Reception answers the same twenty questions all day: prices, parking, aftercare basics.
After
Replies draft from an approved answer bank the practice wrote, and only from that bank.
Human checkpoint
Staff approve before sending, and no clinical answers exist in the bank.
Clinics are right to hold AI at arm’s length. These builds are designed around that caution rather than arguing with it.
No advice, no triage, no symptom interpretation. A message containing a clinical question routes straight to a person, unanswered by the system.
EU-hosted tools configured not to train on patient data, minimum necessary data in every workflow, and a documented data path for anyone who asks.
The practice management system remains the source of truth. Automations write around it, never over it.
Nothing forces patients online. The build catches the calls that ring out; it does not replace the phone.
The first step is a free 45-minute consultation, not a project.
We walk through how a patient actually reaches you: what happens when the phone rings out, how reminders and recalls run today, and where the front desk’s day goes.
Within 48 hours you get a one-page note with one recommended next step and its price. If your practice system already covers the gap and just needs configuring, the note says exactly that.
The usual first win is confirmations and reminders, because the no-show drop is measurable within a month.
The honest boundary
Automation cannot fix a diary that is structurally overbooked or a service patients do not want to return to, and a recall sequence is only as good as the data in the practice system. If the honest finding is that the system you already pay for does this and needs configuring properly, that is the recommendation, and it is a short note.
Direct answers
The builds handle appointments and administration only, with the minimum data each workflow needs. Tools are EU-hosted and configured so nothing trains on patient data, and the data path is documented end to end so it can be shown to anyone who asks.
No, and this is a hard boundary rather than a setting. Replies draft only from an answer bank the practice wrote, which contains no clinical content. Anything resembling a clinical question routes to a person, unanswered.
Then the first job is configuring what you already own properly, and the findings note says so if that closes the gap. Most clinics use a fraction of their practice system; the engagement covers adoption, not just tools.
Calls stay first-class. The system catches the calls that ring out during treatment and texts back; it never forces anyone online, and reception keeps the final say on every booking.
Adoption is part of the engagement, not an afterthought. In practice reception adopts fastest, because they get one list and fewer interruptions within the first week.
The consultation is free. Every engagement after that is a fixed, quoted price agreed before work starts, and the findings note only ever recommends one next step, not a menu.
If you run an Irish clinic with 5 to 30 staff and you are losing bookings to ring-outs, no-shows and a slipping recall list, book the free 45-minute consultation. You get a one-page findings note and one priced recommendation, implemented by Astraeus.
Book the free AI consultation