Enterprise AI Use Case Risk Assessment Framework

A structured enterprise-ready framework designed to help organizations evaluate, score, and review proposed AI use cases before operational deployment.

This editable assessment system (.xlsx file) provides a practical workflow for identifying data sensitivity, governance requirements, operational risk, and human oversight needs across AI initiatives.

Designed for organizations implementing generative AI, copilots, AI automation, and AI-assisted workflows, the framework helps teams move from informal experimentation to structured AI governance.

Includes:

• AI use case intake workflow
• Risk scoring methodology
• Data sensitivity evaluation
• Human oversight review criteria
• Governance checkpoints
• Operational risk considerations
• Controls reference worksheet
• Standardized review structure for AI initiatives

Built for:

• Compliance teams
• IT and Security
• HR and Operations
• L&D and Enablement
• AI Steering Committees
• Consultants supporting AI adoption

Ideal for organizations seeking a repeatable process for evaluating AI initiatives consistently and responsibly before rollout.