Classification
The same output model is used by Wizard, Self-Service, and GPT intake paths.
Review the agent classification, risk tier, ownership model, governance controls, and next steps before registration or build handoff.
The Blueprint is the bridge between intake and governed work: it frames purpose, ownership, data, systems, autonomy, risk, evidence, and the review path before an AI worker moves toward registration or implementation.
Draft planning output. Not approval, legal advice, audit signoff, compliance conclusion, security conclusion, or production authorization. This remains a recommendation and intake artifact for human review, not formal approval.
Context
The Blueprint organizes intake answers into a review-ready view of purpose, owner accountability, approved scope, data and system boundaries, risk tier, controls, and next steps. It is a planning artifact for human review, not a registry entry, Passport approval, security authorization, compliance conclusion, or production decision.
Before implementation or registration, accountable owners should confirm the Blueprint assumptions, close missing-owner or missing-evidence gaps, and decide whether the proposed AI worker should pause, narrow scope, or move into a governed review path.
The same output model is used by Wizard, Self-Service, and GPT intake paths.
Registration should not move forward while required owners are missing.
Controls and approvals are recommendations that must be reviewed by accountable humans.
Pending recommendation
Pending owner input
Centralized, hybrid, or federated review based on risk and ownership needs.
Pending recommendation.
Gaps to close before production or broader rollout.
Pending assessment
Action boundaries, data metadata, cost and usage controls, audit evidence, and pause or containment planning.
Use the Blueprint to prepare human review, registration, and a governed handoff. Do not treat it as approval.