Turn AI Ambition into Responsible Action Review an AI use case, identify governance gaps and organize practical improvements.

AI use cases can raise governance questions that go well beyond the technology itself. Teams may need to understand the use case and its purpose, identify stakeholders and affected parties, establish accountability, consider risk and responsible AI, examine data and information, clarify human oversight, and review security, transparency, impact and the relevant legal or regulatory context. They also need a practical way to document what they found and decide what should happen next.

The AI Use-Case Governance Assessment provides that working structure. It is designed for organizations that want to review an existing or proposed AI use case in a consistent, organized way, while keeping the assessment connected to evidence, findings, priorities and actions.

The assessment is organized across 16 governance domains and contains 64 approved assessment items. Together, they provide a structured way to examine areas such as use-case context, stakeholders, governance and accountability, risk, responsible AI, data, human oversight, security and resilience, transparency, impact, legal and regulatory context, controls, evidence, residual issues, disposition and improvement actions.

The practical workflow is straightforward: Understand, Assess, Record, Analyze, Act, Review. Teams can capture contextual information and supporting evidence, record findings and gaps, identify priorities, assign ownership, establish target or review dates, and use the resulting information to organize improvement work.

The accompanying operational workbook provides the working environment for the assessment, including response and applicability recording, evidence and context fields, status and priority tracking, progress visibility, and action-oriented follow-through. A sample completed example using fictional illustrative data helps demonstrate how the product can be used without relying on customer or factual organizational data.

The product is intended for security, IT, governance, risk and compliance teams, while remaining suitable for cross-functional organizational teams involved in reviewing or governing AI use cases. It is designed to be practical rather than theoretical, giving teams a structured starting point for an assessment and a way to carry findings into improvement actions.

The product supports organizational decision-making, but it does not make or certify those decisions. It is not a formal audit, certification, legal opinion, regulatory approval mechanism or professional assurance service, and it does not guarantee compliance, safety, security or risk reduction. Applicable requirements and reference information should be reviewed in the relevant jurisdictional and organizational context.

For organizations looking for a practical way to bring structure to AI use-case governance review, this assessment provides a clear starting point from review through documented findings, priorities, ownership and follow-up.