Risk framing
Map model decisions to people, workflows, and review moments before the product hardens.
Independent expert profile
Nora Voss
Nora advises research labs and health technology teams on how to ship AI systems with evidence, responsibility, and a clear chain of human judgment.
Measured advice for sensitive systems.
The practice is intentionally narrow: product-facing AI governance for teams building tools where trust, safety, and adoption have to move together.
Evidence kits
Turn evaluations, limitations, and product claims into reviewable material for buyers.
Launch boards
Run structured readiness sessions with product, legal, clinical, and research leads.
Team rituals
Install lightweight checks that teams can keep using after the advisory work ends.
Point of view
Trust is a product feature.
The buyer needs proof, not promises
How to make AI claims legible before procurement asks.
Where human review quietly fails
Designing escalation points people can actually use.
Governance after the demo
A practical operating model for post-pilot AI products.