Govern the AI Workers you build, buy, or deploy — with customer-controlled identity, authority, human oversight, and evidence.

AI Worker Governance

Give every AI Worker an owner, a boundary, and an evidence trail.

Govern AI systems that use tools, affect workflows, change records, communicate externally, or exercise delegated authority.

AI Worker Governance connects accountable human ownership and approved scope to action-time controls. It defines what an AI Worker may do, when Human Review is required, how a specific action is authorized, and what evidence must be retained.

Why it matters

When AI can act, governance must reach the action.

Know who is accountable

Assign human owners, reviewers, purpose, risk tier, lifecycle state, and escalation paths.

Bound what the Worker can do

Define approved data, tools, destinations, permissions, and prohibited actions.

Decide at action time

Allow, deny, pause, or escalate each consequential action using current policy, evidence, and review state.

Control chain

Connect standing governance to each proposed action.

Agent RegistryPassportToll GateHuman Review when requiredEntry ClearanceClearance DeskClearance Stamp and Evidence Trail

A Passport documents standing identity, ownership, scope, and lifecycle posture. It does not authorize every action. Entry Clearance represents short-lived authority for one specific action after applicable policy, evidence, review, and tool boundaries are satisfied.

Reference architecture

AI Worker Governance Control Model

The model connects accountable identity and bounded authority to action-time control, evidence, monitoring, response, recovery, renewal, and retirement.

AI Worker Governance Control Model showing identity, authority, action-time decisions, execution mediation, evidence, monitoring, response, recovery, renewal, and retirement

Open or download the version 1.0 SVG.

Operating model

Govern the full lifecycle without assuming standing approval.

Register

Record the owner, purpose, risk, scope, data, tools, prohibited actions, and expected evidence.

Review and authorize

Apply Toll Gates and Human Review, then issue short-lived authority only when conditions are satisfied.

Monitor and respond

Observe authority use and evidence freshness; pause, contain, remediate, or roll back when needed.

Renew or retire

Reassess scope, narrow or revoke authority, and retain the lifecycle record.

Fail closed

No owner, scope, evidence, or approval means no action.

If required authority or evidence is missing, the control plane pauses, blocks, requests evidence, or escalates. An active Passport establishes standing governance posture; it does not authorize every action.

DecisionControlResult
Who owns it and what may it do?Agent Registry and PassportAccountable roles, scope, and prohibited actions
Why may this action proceed now?Toll Gate, Human Review, Entry ClearanceTime-bound, action-specific authority
How is execution controlled and reconstructed?Clearance Desk, Clearance Stamp, and Evidence TrailMediated execution and an activity trail

Direct answers

Common questions about AI Worker Governance

What is AI Worker Governance?

AI Worker Governance is the operating discipline for assigning accountable human ownership, bounding authority, controlling action, and retaining lifecycle evidence for AI Workers.

How does Scaled Agents govern a specific AI Worker action?

A Passport records standing identity and scope. Toll Gates and Human Review evaluate the proposed action. Entry Clearance provides short-lived action-specific authority, the Clearance Desk mediates the authorized action, and a Clearance Stamp preserves the evidence.

Does an active Passport authorize every AI Worker action?

No. An active Passport establishes standing governance posture. Each consequential action must still satisfy current policy, evidence, review, and action-specific authority requirements.

Scaled Agents

A customer-managed control plane for governed AI Workers.

Scaled Agents connects ownership, approved scope, Human Review, action-specific authority, mediated execution, and evidence across the AI Worker lifecycle. Customers control their instance, data, integrations, governance decisions, production-readiness decisions, and operational accountability.

It supports governance and evidence workflows; it does not certify compliance, provide legal or audit conclusions, approve customer production use, or replace accountable customer reviewers.

Publication record

Provenance and suggested citation

Publisher
Scaled Agents
Published
July 29, 2026
Last reviewed
August 26, 2026
Version
2.1
Responsible role
Product Governance
Review roles
Security and Public Claims Review
Methodology and limitations
This vendor-neutral definition synthesizes the Scaled Agents product source of truth, runtime-governance records, public claim boundaries, and established enterprise identity, risk, security, and lifecycle-management concepts. It is informational and does not establish legal, compliance, audit, security, or production conclusions for any customer environment.
Suggested citation
Scaled Agents. “AI Worker Governance: Definition, Controls & Lifecycle.” Version 2.1, August 26, 2026. https://www.scaledagents.com/ai-worker-governance