use-case-triage

AI use case triage classifies proposed AI applications by comparing them against your organization's governance registry and jurisdictional red lines. It outputs an approved, conditional, or not approved status, enforcing risk gating and routing conditional outcomes to required next steps like impact assessments.

When an AI proposal violates jurisdictional red lines, the triage process enforces a strict stop and flags the use case as not approved. It also requires re-triage if the affected parties' jurisdictions extend beyond the configured organizational footprint.

Yes, you can triage multiple AI use case proposals in batch. The classification mechanism applies to both ad-hoc queries and batch processing, asking clarifying questions and performing registry lookups to assign governance tiers and required controls across all submissions.

Yes, you need a local practice configuration to classify AI governance tiers because the system must read it first to perform registry lookups. This configuration defines the authoritative governance registry, red lines, and jurisdictional footprint required for accurate risk classification.

Use case triage handles privacy and product counsel handoffs by identifying when a proposed AI application implicates these specific needs and flagging them. This ensures the right teams run parallel reviews alongside the core governance classification and risk gating process.

The best way to determine required controls for a conditional AI use case is to match the proposal against the governance registry to produce a governance tier and conditions table. This routes the conditional outcome to the next step, typically an AI impact assessment.