The labour shift from people to technology is coming to healthcare. Joy is building the operating system for it.
Healthcare is the last major industry where human labour remains the primary coordination layer. Not just for clinical decisions — that's expected — but for everything around them: prep, notes, scheduling, follow‑ups, reminders, billing, the operational work of running a practice. And on top of that, the things that often never happen: figuring out how to grow the business, optimizing for more revenue per hour spent, investing in professional development, or creating space for reflection.
Over the past two decades, every other knowledge‑work sector has undergone a labour shift. Finance, legal, logistics, media. Operational coordination shifted from people to software. Healthcare digitized the paperwork — EMRs, billing systems, compliance platforms — but never touched the work itself.
The result: whether you're a psychologist in Stockholm, a dentist in London, or a family doctor in Amsterdam, you still spend 15+ hours a week on tasks that don't help your patients and don't pay the bills.
Not because of a lack of technology, but because the tech was designed top‑down for systems rather than for the practitioner's daily work.
Now that can change.
AI has reached the threshold of reliably understanding, structuring, and acting on clinical workflows. Not as a novelty — as infrastructure.
In the same way cloud computing didn't just make storage cheaper, but enabled entirely new categories of software; foundation models are enabling a new category of operational systems for healthcare.
But the shift will not happen top‑down. Two decades of enterprise healthcare IT have already proven that system‑level efficiency does not solve the problem if the individual practitioner remains the bottleneck.
There are deeper reasons for this. Ways of working are the hardest thing to change in any industry — doubly true in healthcare, where habits are shaped by responsibility, regulation, and risk. And after decades of poorly designed software imposed from above, many practitioners carry a deep skepticism toward new technology.
For a system to take on real operational work, it first has to earn trust.
Productivity in healthcare has to be built atomically, from the individual up. Session by session. Task by task. Trust earned, not imposed.
Only then can it scale to teams, clinics, and networks.
That is why the starting point matters.
There are more than 1.4 million independent healthcare practitioners across the EU and US — psychologists, physiotherapists, dentists, GPs, and more. No IT departments. No legacy system lock‑in. Acute operational pain. And a willingness to adopt tools that respect how they actually work.
This segment alone represents a €3.2 billion market opportunity. But it is the entry point, not the ceiling.
The same bottom‑up logic that built companies like Shopify, Toast, and Stripe applies here: win the individual first, then expand through their network.