Insights
Regulation· 6 min·
Why AI pilots don't scale — and what production use requires
Pilots demonstrate potential. Production use requires ownership, lifecycle, documentation and managed risk-taking.
A pilot proves, but doesn’t carry
In most healthcare AI initiatives, the real question isn’t whether the model works. The real question is what happens when the pilot needs to become part of daily work — who owns it, who maintains it, how the data flow is documented, and how exceptions are handled.
What production use actually demands
Regulatory understanding, clear ownership, a production-capable environment, model lifecycle management, security, and a procurement-ready operating model. Usually in that order — not model-first with the rest catching up.
Takeaway
Next time you’re evaluating an AI initiative, ask first: who owns this in six months, and on what structures? The model accuracy comes after.