AI systems for dental and medical clinics in Toronto
For a dental or medical clinic, an AI system answers every patient call, books into the practice calendar, sends the reminder sequence that reduces no-shows, and asks each finished patient for a review. Makavele builds it and runs it.
Your front desk is with a patient. The phone isn't.
A clinic loses money in two quiet places: the call that rings out while the desk is gowning up a patient, and the empty chair when someone forgets. Neither shows on a report. Both are recoverable, and the no-show half has one of the best evidence bases in this entire field — it has been measured in randomised clinical trials, not marketing surveys.
What the research says about clinics
relative reduction in no-shows with automated appointment reminders
clinical RCTs & meta-analyses (Am. J. Medicine, 2010)more likely to qualify an enquiry answered within the hour than one answered an hour later
HBR, "The Short Life of Online Sales Leads," 2011of consumers who were asked to leave a review went on to leave one
BrightLocal Local Consumer Review Survey, 2026 (US)The no-show figure is the strongest evidence on this site — it comes from randomised clinical trials in outpatient settings, not a vendor survey. The review figure is US-sampled; no Canadian equivalent is published.
Where Ontario actually stands
That gap is the whole opportunity. It isn't a cost problem either — asked what's stopping them, the largest group of Ontario businesses (38.3%) say AI simply isn't relevant to what they do. Cost ranks third. Relevance is a scoping problem, and scoping is the job.
What we build for clinics
- 01
Answers
Every call picked up, including the ones during procedures and after close.
- 02
Books
Straight into your practice management calendar, with your rules for slot type and length.
- 03
Reminds
The confirmation and reminder sequence that the trials show moves no-show rates.
- 04
Recalls
Patients overdue for a hygiene visit or follow-up get contacted without anyone remembering to.
- 05
Asks
A review request after the visit, while the experience is still fresh.
The pieces
Questions clinics ask
Will it work with our practice management software?
That's the first thing we check in the audit. If your system has an API or a supported integration, we book directly into it. If it doesn't, we work through whatever it does expose and tell you plainly what that costs you in convenience — we won't pretend an integration exists.
Is patient information handled safely?
Health information carries obligations that ordinary business data doesn't, and we scope to them before building — what gets collected, where it's stored, and who can reach it. If a system can't be built to meet your obligations, we tell you that instead of building it.
Will patients know they're talking to an AI?
Yes, and that's deliberate. Trying to pass an AI off as a human is how clinics lose trust. It introduces itself, does the job, and hands anything sensitive or unusual to a person.
Can it handle clinical questions?
No, and it shouldn't. It books, reschedules, confirms, and takes messages. Anything clinical is routed to your team. That boundary is a design rule, not a limitation we're working around.
Let's talk.
Tell us what's bleeding hours. We'll tell you honestly if AI fixes it.