Use-Case Classification

Use-case classification is the practice of sorting an AI system by what it is used for and how much risk that use carries, which then determines what rules apply to it. The EU AI Act, for example, sets different obligations depending on whether a system falls into a prohibited, high-risk, limited-risk, or minimal-risk category, so getting this label wrong can mean either unnecessary cost or an unmet legal duty. For compliance teams, the practical question is whether the same underlying model becomes a regulated product once it is applied to hiring, credit, healthcare, or another sensitive decision.

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Research2026-10-11

JPMorgan and HSBC Embed AI Governance Into Firm-Wide Risk Structures

JPMorgan Chase and HSBC are integrating AI governance into their core risk and control frameworks, linking model risk, data governance, conduct risk, and senior management accountability. Both institutions are using use-case scorecards to classify AI risk by consumer impact, explainability, and systemic relevance. The approach signals a shift from standalone AI policy to enterprise-wide governance with board-level accountability.

JPMorgan Chase HSBC model risk management financial services AI governance integration senior management accountability use-case classification