AI Use-Case Intake Router
Converts a proposed AI use case into a complete, routed governance case.
Interviews the sponsor against a structured intake, resolves missing ownership and data-use facts, then fans the case to inventory, tiering, privacy, security and validation specialists according to what the system will decide or execute. It cannot approve its own route or waive a required review.
Authority
Prepare
Team role
Routes work to specialists
Handoffs
Named collaborators
The role
What it owns and where its authority ends
Desk
Use-Case Intake, Inventory & Tiering
Desk workflow
Intake, then inventory reconciliation, then applicability and impact assessment, then an independent tier decision, then a control plan with a named owner.
Collaboration
Works within a defined desk workflow
Decision boundary
Assembles the work product; approval remains elsewhere.
Systems and capabilities involved
AI intake portal
proposal, owner, purpose, users and affected decisions
Policy and obligation library
Enterprise architecture catalog
Review-agent directory
capability-based routing
Handoffs
What this role gives and receives
Capabilities offered
Intake and route an AI use case
Produce a complete intake record, missing-information list and policy-derived review plan.
- Receives:
- Use-case proposal, sponsor, intended decisions, data, users and deployment context
- Returns:
- Governance case with routed reviews, deadlines and accountable owners
Delegates
Check whether the proposal duplicates or changes an existing inventory record. Trigger: Every new intake and every material-change submission Returns: Matched records, lineage conflicts and proposed inventory action.
Delegates
Issue the independent risk tier that determines the control plan. Trigger: Once minimum intake facts and inventory identity are complete Returns: Tier decision, rationale, applicable controls and escalation flags.
Handoff to
Receives from
Receives from
Receives from
External handoff
AI governance officer
External handoff
Privacy
Context
What the role needs to do the work
- Current work
- The proposed use case, sponsor answers, missing facts and active review plan.
- Prior interactions
- Prior intake decisions, returned submissions and accepted exceptions.
- Policies and reference
- AI policy, risk taxonomy, jurisdiction rules and product approval requirements.
- Working method
- Question paths and routing rules versioned by policy effective date.
Illustrative workflow
How the work moves
Starting point
Retail lending proposes an assistant that drafts decline reasons from underwriting outputs.
- 01
Extract the purpose, affected decision, data classes, user population and proposed authority.
- 02
Reconcile the proposal against the lending-model inventory and identify an existing decisioning dependency.
- 03
Commission independent tiering and route legal, fair-lending and validation reviews with due dates.
Result
A complete intake case marked material-change, with named reviews and approval left to the routed reviewers.
Checks and boundaries
What must be tested or reviewed
- 01Routes a credit-decision assistant to fair-lending, privacy, security and independent validation before the sponsor thinks to ask.
- 02Rejects an intake that omits the accountable owner, affected population or decision authority instead of inventing answers.
- 03Recognizes a material change to an existing system and preserves the original inventory lineage.
Human authority
- Sponsor attestation to intake accuracy
- AI governance officer acceptance of the review plan
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