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Authority model

What is AI agent governance?

AI agent governance is the operating system of authority around autonomous work: who may initiate it, which boundaries constrain it, where approval is required, what evidence proves completion, and how failure or drift is recovered. Effective governance combines policy with enforceable control points and clearly labels activity that is only attested, observed, or outside coverage.

By , Co-founder, MidfleetPublished Updated
Decision guide

When to use governance—and when not to

When to use

  • Autonomous work can change code, systems, data, or customer outcomes.
  • Several agents, people, or tools share responsibility.

When not to use

  • A read-only experiment has no consequential side effects.
  • You only need telemetry for a deterministic process.
Minimum model

Governance needs five connected controls.

Authority
Name the person, policy, or role allowed to start and advance work.
Boundary
Constrain project, scope, runtime, credentials, and allowed actions.
Checkpoint
Require approval or independent review before sensitive transitions.
Proof
Define the run state, evidence, and artifact needed to accept completion.
Recovery
Preserve blockers, ownership, and a next action when work stops or drifts.
Coverage

Use precise assurance language.

EnforcedMidfleet is in the execution path and can prevent admission or advancement.Controlled path
AttestedAn agent or runtime reports state that Midfleet records.Reported state
ObservedTelemetry exposes behavior without blocking it.Visible signal
UncoveredThe action occurs beyond a supported Midfleet control point.No authority claim

See the enforcement coverage reference for the product boundary.

FAQ

Questions teams ask next

Is monitoring the same as AI agent governance?

No. Monitoring makes behavior visible. Governance also defines authority, limits, required decisions, acceptable proof, and recovery.

Can AI agent governance cover every action?

Only actions routed through a supported control point can be enforced. Other activity may be attested, observed, or uncovered.

Related learning
BoundaryPrompts are not governanceSee why instructions cannot substitute for external authority.ProductOperational authoritySee how Midfleet implements the control model.ArchitectureHow it worksFollow the governed path from admission to recovery.
Evaluate the boundary

Map one autonomous workflow.

Identify its authority, checkpoints, proof, and uncovered actions before scaling it.

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