Use case source
Use case selected
The selected use case is being prepared as a draft Builder template.
- Industry
- Not selected
- Function
- Not selected
- Risk
- Not selected
- Review path
- Human review required
Create a Scaled Agent
Turn an AI Worker idea into a governable Blueprint.
Define the outcome, accountable owner, operating boundary, data, systems, risk, controls, evidence needs, and review path before implementation begins.
Use case handoff is a draft planning input. When a resource use case is selected, Builder can use it as optional draft context.
The Blueprint is a recommendation and intake artifact. It is not formal approval, production authorization, compliance conclusion, legal approval, security approval, Passport issuance, registry approval, or permission for an AI worker to act.
One Blueprint, three ways to begin.
Start with a clear idea, a relevant use case, or guided conversational shaping. Every route produces a draft Blueprint and still requires human confirmation of ownership, scope, data, systems, controls, risk, and review.
Start point
Choose the starting point that matches what you know.
The route changes how the draft begins—not the ownership, risk, evidence, and Human Review expectations.
Start with a clear idea
Use the structured Builder when the AI Worker concept is known and needs purpose, scope, ownership, risk, and review details.
Start from a use case
Select an industry or functional use case to prefill draft context. The use case is a starting point, not an approval.
Shape an early idea
Use the guided GPT when the concept still needs conversational shaping before structured Builder review.
Builder intake
Self-Service Builder starts with a blank draft or a use case.
Choose a starting point, then confirm the accountable owner, operating boundary, data and systems, risk tier, controls, and next review step before previewing a Blueprint.
Start point, then confirmation.
Self-Service is the Builder path for teams that want to shape the draft themselves. A selected use case can prefill context, but the same confirmation steps still apply.
1
Choose start pointStart blank or select a Use Case Resources record to prefill draft context.
2
Confirm the AI workerPurpose, outcome, audience, autonomy, owner, data, systems, and operating boundary.
3
Prepare the review pathRisk tier, controls, evidence needs, prohibited actions, and next human review step.
What Builder confirms.
- Starting source: blank draft or selected use case.
- Agent purpose, business outcome, and audience.
- Named owner, reviewer, data, tools, systems, and access boundary.
- Risk tier assumptions, controls, evidence needs, prohibited actions, and next approval step.
Builder prepares a draft intake artifact. It does not approve, register, authorize, or certify an AI worker.
What you get
A Scaled Agent Blueprint.
The Blueprint organizes the business, technical, governance, evidence, and operating context needed before implementation or registration decisions.
Classification
Recommended agent type, business function, industry context, audience, autonomy level, data sensitivity, and system integration profile.
Risk and controls
Risk tier, required governance controls, approval path, monitoring needs, escalation path, and human oversight model.
Ownership and handoff
Business owner, technical owner, domain expert, service owner, risk reviewer, missing owner warnings, and the recommended next step for human review. The output can help prepare AI worker identity, ownership, scope, domain context, review paths, and evidence before a future workspace handoff.
How it works
From idea to review-ready Blueprint.
- 1Describe the agent idea, business outcome, audience, and intended boundary.
- 2Classify the agent across pattern, function, industry, autonomy, data, integrations, and trust boundary.
- 3Assess risk and recommend governance controls based on sensitive data, execution authority, external exposure, and operational impact.
- 4Identify owners, domain validators, technical operators, risk reviewers, and escalation path gaps.
- 5Generate a Scaled Agent Blueprint that can be reviewed, refined, and handed off to the appropriate platform process.
- 6Move to a registry, Workbench, deeper advisory support, or human review path only when the required approval boundary is clear.
Built for enterprise governance
Agents are not just tools. They are governed digital workers.
Every agent should have ownership, purpose, risk tier, lifecycle posture, governance controls, monitoring expectations, and clear approval boundaries before it affects meaningful work.
Fast where risk is low
Low-risk internal productivity agents can move through lightweight review with named ownership and basic monitoring.
Stronger gates for high risk
External-facing, autonomous, sensitive-data, financial, legal, regulated, and business-critical agents need stronger human review.
Clear next step
The Blueprint recommends whether to go deeper, contact Scaled Agents, or prepare for future registry or Workbench handoff.
Blueprint coverage
What the Blueprint helps your team define.
The Blueprint organizes the decisions needed to review an enterprise AI Worker before implementation creates hidden risk or unclear authority.
- Agent type, business function, and industry context
- Audience, trust boundary, autonomy level, and data sensitivity
- Required owners, validators, risk reviewers, and escalation path
- Governance controls, approval path, evidence needs, monitoring needs, lifecycle expectations, and action boundaries
- Passport inputs for owner, purpose, scope, permissions, prohibited actions, review path, evidence, and lifecycle state
- Scale-breakers that should be resolved before build, registration, production movement, or higher-risk runtime review
- Recommended next step: Wizard, Self-Service, GPT, Workbench handoff, deeper review, or contact path
Ready to define your first governed agent?
Start with the Blueprint. Keep approval human.
Use this service when the agent idea is real enough to classify, but not yet ready for implementation, registration, or production authority.