Best fit
Early AI Worker planning, readiness review, backlog routing, and controlled implementation handoffs.
Process Detail
Use this sequence to move an AI worker idea from intake to reviewed next steps with ownership, risk, evidence, Passport scope, review gates, and implementation boundaries visible before work expands.
Start with the Governance Readiness landing page for the overview. Use this supporting page when you want the sequence that keeps intent, ownership, risk, review gates, evidence, Passport scope, and runtime authorization boundaries visible before AI-supported work becomes recurring or consequential.
Context
Governed Workflow shows the sequence that keeps ownership, risk, evidence, Passport scope, Toll Gates, Human Review, Runtime Permit boundaries, and implementation posture visible before AI-supported work becomes recurring or consequential.
Early AI Worker planning, readiness review, backlog routing, and controlled implementation handoffs.
Blueprint, Passport, Toll Gate, Evidence Record, Human Review Item, Runtime Permit, Action Broker outcome, and lifecycle state.
This workflow explains review preparation. It does not grant production authorization, live runtime enforcement, or formal approval.
Operating Sequence
Each step preserves human accountability and keeps draft, reviewed, approved, and implementation states distinct.
Capture what exists today, including use cases, drafts, documents, prototypes, and known constraints, and record ownership and trust boundary at a high level.
Classify the pattern, autonomy level, data sensitivity, and integration expectations. Surface risks, missing inputs, and what must be reviewed before reliance.
Route proposed changes through an owner decision record. Outcomes may include approve for backlog planning, needs changes, defer, or reject.
Convert approved items into scoped backlog records with owners, review roles, and explicit boundaries. Preserve draft posture until owner-authorized implementation begins.
Implement only what has explicit owner authorization and an agreed review path, with least privilege, data minimization, and rollback or disable expectations.
Verify outcomes against acceptance criteria and evidence expectations, then update governance records to reflect current posture.
Artifacts And Engagement
Use these definitions to keep workflow conversations grounded in governed planning records, not implied approvals.
Structured recommendation and intake artifact for review; not an approval or production authorization.
Identity and scope record for an AI worker, including owner, purpose, boundary, lifecycle posture, and review expectations. It does not by itself authorize every action.
Control checkpoint where runtime authorization for a higher-risk action may be allowed, denied, blocked, or routed for human approval and evidence.
Structured support for a review decision captured in a customer-safe way.
Process-based verification for convincing, urgent, executive-framed, voice/video-confirmed, or multi-channel requests before high-impact action.
Decision record that identifies what needs owner review before the work proceeds.
Describe what work should be supported, by whom, and for whom.
Clarify whether the workflow is internal-only or customer-facing, advisory or consequential.
List expected integrations, if any, and data sensitivity at a high level.
Receive a draft Blueprint ready for human review, revision, and owner decision routing.
Use the governed workflow to prepare review-ready intent, ownership, scope, evidence, and next-step routing before implementation or recurring use expands.
Governed workflow rule: use these artifacts to make review, ownership, scope, and escalation visible before implementation or recurring use expands.