Data safety is not enough
Enterprise AI platforms can protect PHI or regulated data while still leaving the behavioral action path unproven.
Healthcare and regulated AI
Behavioral proof for regulated AI actions, not just protected infrastructure.
BAA-covered AI infrastructure helps protect data. G‑14 addresses the next question: can the organization prove the autonomous action followed the governing policy?
Why this buyer cares
The hard dispute is not only whether data was stored safely. It is whether the AI action itself was authorized, policy-bounded, released, and evidenced.
Action Range scenarioRegulated data export
Run the scenario to see the control loop before moving into a deployment review.
Run the scenarioPolicy-bound action
G‑14 frames each consequential action as a request, decision, release path, effect, and proof object.
Review without dashboard trust
A buyer, auditor, regulator, or incident team can evaluate the proof record as its own artifact.
Questions this path answers
- Was the regulated action inside the correct policy context?
- Was the required consent, release, or approval path present?
- Did the effect occur only after a valid decision?
- What evidence survived for review?
What the buyer leaves with
- Regulated-action proof model
- Healthcare and finance evaluation path
- Policy-context proof language
- Verifier handoff
Next move
Start with proof, then choose the smallest serious evaluation path.
Bring one action into the range: what can it change, who can release it, what evidence must survive, and what proof the buyer needs if the action is challenged.