Assess AI use cases, identify governance gaps, and turn findings into clear, prioritized actions with a practical governance toolkit.

AI use cases often involve more than selecting and implementing a technology. Organizations also need to understand the purpose of the use case, who is accountable, what risks may arise, how data is handled, where human oversight remains important, and what controls, evidence and review mechanisms are appropriate.

The AI Use-Case Governance Assessment provides a structured way to bring these considerations together in one practical working assessment.

It covers 64 assessment items across 16 governance domains, providing a consistent foundation for reviewing an AI use case or proposed AI use case. The coverage spans use-case purpose and context, stakeholders, governance and accountability, risk, responsible AI, data and information, human oversight, security and resilience, transparency, impact, legal and regulatory context, controls, evidence, residual risk, organizational disposition, and improvement actions.

The workflow is designed around a straightforward progression:

Understand → Assess → Record → Analyze → Act → Review

This helps teams move beyond simply asking governance questions. Responses can be recorded alongside applicability, evidence and contextual information. Identified gaps or uncertainties can then be documented as findings, assigned priorities and connected to practical improvement actions.

The product includes two complementary working components.

The DOCX Assessment Guide provides the assessment structure, practical guidance and reference information needed to conduct the review.

The XLSX Operational Workbook provides the working environment for recording assessment responses, applicability, evidence and context, findings, priorities, actions, owners, target or review dates and status. It also provides an assessment-progress view, a consolidated Action Plan and a sample completed assessment using fictional illustrative data.

This makes the toolkit useful when a team wants to establish a consistent starting point for an AI use-case review rather than building an assessment process from a blank page. It can also support cross-functional discussions involving technology, security, governance, risk, compliance and business stakeholders.

The assessment is intentionally positioned as a practical governance and decision-support tool. It helps organizations organize what they know, identify areas requiring attention and establish practical next steps. It does not independently verify customer-provided evidence, make organizational decisions or certify the resulting position.

Legal and regulatory considerations are included as an assessment domain, but applicable requirements depend on the relevant jurisdiction and organizational context. Completing the assessment does not itself establish regulatory compliance or replace appropriate professional advice.

For organizations looking for a structured way to examine AI use cases, make governance considerations visible and translate identified issues into organized actions, this toolkit provides a practical foundation for moving from AI ambition to responsible action.