use-case-triage

AI use case triage checks proposed deployments against an organizational governance registry to determine if they are approved, conditional, or prohibited. It evaluates personal data usage, jurisdictional scope, and automated decisions to route the correct privacy reviews and regulatory approvals.

Classifying AI use cases involves registry lookup, red-line checks for prohibited uses, jurisdictional analysis, and governance-tier assignment. This process assigns an approval path and produces actionable outputs like required conditions and cross-plugin handoffs for privacy or product counsel.

Yes, AI use case triage applies to deployments involving employees, customers, personal data, and automated decisions across multiple jurisdictions. It performs jurisdictional analysis to identify regulatory considerations and assigns the appropriate governance tier for cross-border AI features.

AI use case triage routes governance work through approval routing and cross-plugin handoffs. After evaluating risk and red-line conditions, it generates actionable governance outputs that direct the assessment directly to privacy or product counsel for final legal approval.

AI use case triage applies to both new and retroactive AI deployments. It evaluates existing implementations against the current governance registry and approval framework to identify required impact assessments, privacy reviews, and necessary compliance conditions.

Automated AI risk assessment should not replace human judgment when novel legal interpretations are required. Use case triage standardizes registry classification and jurisdictional analysis but explicitly routes complex governance tiers and conditional approvals to human privacy and product counsel.