Essential AI Use Case Framework: From Risk Assessment to Responsible Implementation
Fast-Track AI Projects While Safeguarding Your Organization
Organizations implementing AI face critical decisions about use case viability, risk levels, and compliance requirements. With the growing complexity of AI applications, teams need a structured approach to evaluate and document AI system use case proposals.
The RAI Institute’s comprehensive AI Use Case Intake Framework provides:
- Systematic risk level categorization aligned with EU AI Act requirements
- Detailed evaluation criteria for data security and privacy considerations
- Cross-functional accountability and oversight guidance
- Step-by-step assessment worksheet for technical and business stakeholders
- Built-in responsible AI best practices checklist
Whether you’re establishing an AI governance program or improving existing processes, this framework is essential for:
- Enterprise AI teams
- Risk management professionals
- Compliance specialists
- AI project leads
- Cross-functional implementation teams
Access the "AI Use Case Intake Framework"
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Founded in 2016, Responsible AI Institute (RAI Institute) is a global and member-driven non-profit dedicated to enabling successful responsible AI efforts in organizations. We accelerate and simplify responsible AI adoption by providing our members with assessments and assets, benchmarks and certifications that are closely aligned with global standards and emerging regulations.
Members include leading companies such as Amazon Web Services, Boston Consulting Group, KPMG, ATB Financial and many others dedicated to bringing responsible AI to all industry sectors.