The governance question isn't which model. It's who signs.
As AI moves from answering questions toward influencing operations, the decisive question is no longer what the model can do. It is what information the model is authorized to treat as true, what it may infer, what it may recommend, and who remains accountable for the decision.
Ground truth belongs to the operator
Unifying, matching, merging, deduplicating, or remembering data can improve context. None of those operations establishes authority when legitimate systems disagree.
Ground truth is not something a platform gets to declare. The operator declares the definition, assigns source authority, governs reconciliation, and preserves the decision with lineage.
When systems disagree, the operator governs.
Govern the truth before you automate the decision.
On this page
Every AI-assisted surface in the platform is classified before it ships. The class determines the review requirement, not the other way around. Class 5 — autonomous action without a human in the loop — is not a roadmap item we have deferred. It is a capability we have declined to build for clinical and regulatory pathways.
This register describes design constraints and application controls as of the then-current date. It is not a certification, a threat-intelligence claim, or a statement about any other company's product or incident history.
Most of the frameworks that govern healthcare AI do not issue certificates. NIST AI RMF is voluntary. On ONC health IT certification, the canonical Trust posture governs: So each row below says how the framework applies to us and exactly what our posture toward it is — including where the honest answer is “self-assessed.”
Key points
- How SeniorCRE governs AI-assisted surfaces: five use classes scaled to consequence, a human-acceptance requirement before any model output enters the operating record, no PHI transmitted to third-party LLM providers, and self-assessed NIST AI RMF mapping stated without certification claims.
https://seniorcre.com/ai-governance