When developing AI for health, scale needs rails - PATH

You bought the AI tool. Nobody uses it. $200/month just sitting there. That's not a you problem. That's a deployment problem. Here's something most AI gurus never mention: even the best AI tools in

You bought the AI tool. Nobody uses it. $200/month just sitting there.

That's not a you problem. That's a deployment problem.


Here's something most AI gurus never mention: even the best AI tools in the world — ones with clinical validation, real results, proven outcomes — fail when they get dropped into an environment that isn't ready for them.

PATH's researchers found this in healthcare AI across Africa. Brilliant tools. Zero adoption. Because each facility had different systems, different workflows, different people. The tool worked. The integration didn't.

Sound familiar?


This is exactly why buying an AI tool and "figuring it out later" almost never works. It's not about the tool. It's about fitting the tool to how your business already runs — not the other way around.


The one thing you can do this week: before evaluating any AI solution, write down the single most repetitive task your team complains about. Just one. That's your starting point. A targeted problem gets a targeted tool — and a result you can actually measure within 30 days.

No new hires. No system overhaul. No coding.


What's the one AI tool you've already paid for that your team quietly stopped using — and what got in the way?


#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

Original Source

Thus, most African developers with a clinically validated AI tool face a different journey: bespoke integration with every facility's records ...