Responsible AI for health products
I help health-tech teams design AI that gives people real answers without overstepping what it can safely claim — so what you ship earns trust instead of just sounding sure.
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Health AI keeps making a promise it can't fully keep.
Users want certainty — an answer, a diagnosis, a reassurance. AI can generate something that sounds like all three. The gap between what it says and what it can actually stand behind is where trust breaks, where regulators look, and where people get hurt. Designing that gap well — honestly, and at the moment it matters to a real user — is the whole job.
How I help
Every engagement is grounded in the real regulatory surface — HIPAA, the FTC Health Breach Notification Rule, and the FDA's software-as-medical-device lines.
AUDIT
Before you can design for the risk, you have to know where it is.
I map every claim your product's AI makes on a user, flag where its confidence outruns what it can stand behind, and rank the findings by severity — a diagnosis you can act on, with your team or with mine.
DESIGN THE RESPONSIBILITY LAYER
Design the safeguards before you build them.
Bring me the plan and I map every claim your product will make, establish what it can stand behind, and design the moments that carry the most weight — what the interface says when it's uncertain, and what it does when it's wrong. You leave with buildable design and the reasoning behind it.
ADVISORY RETAINER
The decisions that carry the most risk rarely arrive on a schedule.
Senior judgment on hand for the calls that come up mid-build — a substantive answer within one business day, plus a standing call for the bigger questions. You're paying for direction, not production. It begins after we've worked together, so the advice is informed from day one.