Yes, I think they can. Not by matching a large group's headcount, but by getting the back-office capability a large group pays for, without the overheads that come with it.
I've run physiotherapy clinics long enough to know that treating patients is only half the job. The other half is chasing remittances, reconciling accounts, managing cancellations, marketing, rostering, recruitment and putting out fires.
For years, growing a clinic meant hiring more people to manage that complexity. AI is starting to change that, whether you work alone or run dozens of sites.
Why large groups have had the edge
Large healthcare groups have always had advantages in administration, finance, marketing and management. They can spread a finance team, a marketing lead and an operations manager across many sites.
A five-practitioner clinic can't. The owner does those jobs after hours, or they don't get done. Cancellations go unfollowed. Remittances sit unreconciled. Marketing happens when someone finds a spare hour.
That gap has never been about clinical skill. It's been about who can afford the back office.
Won't large groups just use AI too?
They will, and they should. But AI changes the cost of capability, not just its speed.
For a small clinic, AI can provide a back office that never existed. Small clinics can also move fast: an owner can trial a new workflow on Monday and keep it by Friday.
For a large group, the prize is different. It's consistency. The same follow-up, the same guidance and the same standards in every clinic, without adding head-office staff for each new site.
Large groups will keep real advantages, like capital, data and buying power. AI doesn't erase those. But it narrows the gap on the everyday work that decides whether a clinic runs well, at any size.
What an AI practice manager could look like
Picture arriving at your clinic on Monday morning. Your AI assistant tells you:
“Three patients cancelled without rebooking. Two insurance payments are outstanding. Utilisation has dropped 8%, and your latest marketing campaign generated six new enquiries.”
It could then help with:
- Patients: bookings, cancellations and follow-ups.
- Clinical: notes, reports and treatment plans.
- Finance: chasing remittances, reconciling payments and monitoring cash flow.
- Marketing: content, campaigns and referral tracking.
- Staff: rostering, recruitment and training.
- Operations: performance, compliance and outstanding tasks.
All with appropriate privacy safeguards, and a person approving what matters.
Not all of this exists yet. Clinical documentation is the most mature: AI scribes now prepare notes, reports and treatment plans for clinicians to review. Follow-ups, marketing and team training are working in early tools. Finance automation, like matching payments to invoices, is still being built.
The real opportunity isn't automating any single task. It's connecting the whole clinic, so fewer things fall through the cracks.
What it looks like at every size
The same technology solves a different problem depending on where your practice is at.
Solo practitioners. You are the receptionist, the bookkeeper and the marketer. AI keeps admin manageable, so notes, follow-ups and invoices don't spill into your evenings.
Small teams. With a few practitioners, things fall between people. AI gives every follow-up an owner, so nothing depends on someone remembering, and the owner can step out of the back office.
Multi-location practices. The challenge becomes consistency. AI helps share the same approved guidance across sites, compare booking patterns and make sure each location has someone accountable.
Large groups and enterprise. Change is the hard part at scale. The best approach is to start with one workflow, prove it in a few clinics, then roll it out. Done well, every site runs to the same standard without a matching growth in head office.
What it changes: revenue per team member
Across my clinics and CliniScribe, I'm increasingly focused on revenue per team member.
Not because I want fewer people. I want everyone spending more time on meaningful work: better patient care, stronger businesses and less administrative burden.
It isn't the only measure. Profitability, clinical outcomes, patient experience and staff wellbeing matter just as much. But it shows whether the admin is growing faster than the practice.
Why I'm building this
I started as a physiotherapist, became a clinic owner and eventually taught myself software engineering. After working at a large ASX-listed technology company, I was made redundant. In hindsight, that was a gift. It led me to build CliniScribe.
CliniScribe started with a problem I understood firsthand: clinical documentation. Running my own clinics showed me how much bigger the opportunity is. That's why we're building towards CliniOps, connecting the tools clinics already use with AI to manage everyday operations. We don't need to build everything ourselves. Collaboration across the profession will be essential.
This is personal. I love this profession, and I know how demanding running a practice can be. I want clinicians to enjoy their work, spend more time with patients and build businesses that don't consume their lives. If I can help leave allied health a little better than I found it, that's a legacy worth pursuing.
The future of allied health may not belong to the biggest teams, but to what a small, passionate team can achieve with the right technology.
Do you think AI will level the playing field for independent clinics?