“Build the AI feature your investors expect, without the compliance risk your lawyers fear.”
You've promised an AI feature on your roadmap — personalization, triage, coaching — and your engineering team is capable of building it. What they're less equipped for is the health-data governance layer that has to exist underneath it before it ships.
Three things that typically go wrong
The AI feature gets built first and the compliance conversation happens after, which means the eventual fix is a rebuild, not a patch.
Nobody can clearly explain what the model decides versus what it merely suggests — and that ambiguity is exactly what a regulator or a plaintiff's lawyer will focus on.
The system works in the demo on curated data and breaks on the messy, incomplete data real patients and users actually produce.
How we address it
Each of these maps to a specific capability, not a generic promise:
Talk through your situation.
A discovery call is free and takes 30 minutes. You'll leave knowing whether this is worth pursuing further.