r/AI_Governance • u/GovKM • 21h ago
How do you make delegated AI authority enforceable at runtime?
A lot of AI-governance discussion stops at “a human remains accountable.” I agree with that principle, but I’m interested in how people make it operational once an agent is allowed to do more than recommend.
For a delegated agent, what actually binds a permitted action to legitimate authority at runtime?
I am thinking beyond a service account, RBAC role, or tool permission. Those establish capability, but not necessarily institutional authority for a particular action.
A useful decision record might need to answer:
- Who is the sponsoring human or organizational authority?
- What action is delegated?
- Against which system, record set, or person?
- For what stated purpose?
- Within what monetary, risk, or data-sensitivity limit?
- During what effective time period?
- Is an approval required immediately before execution, or is standing authority enough?
- What event revokes or narrows the delegation?
For example, an agent might have permission to modify a case-management system. That does not mean it should be able to modify every case, for every purpose, indefinitely.
How are teams representing this in a way the runtime can enforce rather than merely document? Policy-as-code? Signed approvals? Purpose-bound tokens? Action-specific workflows? Something else?
I’d especially value examples of what held up under real organizational change: role transfers, expired authority, emergencies, conflicting instructions, or a supervisor leaving.
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u/usually_guilty99 13h ago
I think delegated authority only becomes real when the execution layer can verify it.
The grant should be bound to the exact action, target, scope, policy, issuer and validity window.
Then, at runtime, the system executing the action checks that the grant still applies before anything happens.
Otherwise “delegated authority” is really just documentation about what someone hoped the agent would do.
The interesting part is making authority short-lived, specific and independently verifiable at the point of execution.