Clinical agents should never
inherit more authority than intended.
As AI moves from clinical assistance toward workflow execution, healthcare organizations need clear boundaries around what an autonomous principal may access, recommend, modify or initiate.
Authority must remain bounded.
Read, advise, prepare and execute are different grants.
Domain execution and independent safety rules remain with the operating system.
From Copilot to Actor
More autonomy requires
more explicit authority.
An AI agent may begin by summarizing information and later gain the ability to route a task or prepare an action. Those steps should not silently confer authority to change diagnosis, medication or irreversible clinical orders. ProofGrid governs the boundary between a permitted workflow action and the actor requesting it.
Read
Summarize records within permitted access.
Advise
Recommend a next action for a clinician or staff member.
Act with approval
Prepare an order or workflow action for an authorized person to approve.
Bounded autonomy
Execute permitted operational actions inside policy.
Conceptual Healthcare Authority
Care coordination is not
clinical decision authority.
A care coordination agent can delegate a documentation task without giving its child the rest of its workflow authority. The child receives a narrower purpose, case scope and duration. Any clinical decision remains with the authorized clinical workflow.
Context at the Action Point
The same action can depend
on the case and moment.
Agent access control needs context beyond a static role. Reading an assigned case to prepare follow-up is different from browsing unrelated records or changing a clinical order. ProofGrid may consume relevant context and preserve authority evidence; it does not replace clinical judgment or a healthcare record system.
Healthcare AI Architecture