AI Use Case Intake Framework

Organizations implementing AI face critical decisions about use case viability and risk levels. Our AI Use Case Intake Framework provides a systematic approach to evaluate, categorize, and approve AI initiatives before deployment—ensuring alignment with organizational values and regulatory requirements.

• Systematic risk level categorization aligned with EU AI Act requirements
• Detailed evaluation criteria for data security and privacy
• Cross-functional accountability and stakeholder assignment guidance
• Comprehensive assessment worksheet for intake review teams
• Responsible AI best practices checklist for implementation

Download the framework and start evaluating AI use cases systematically.

Who Is This Framework For?

The AI Use Case Intake Framework is designed for:

• Enterprise AI Teams – Evaluate proposed AI initiatives against organizational standards
• Risk Management Professionals – Assess and categorize AI-related risks systematically
• Compliance Specialists – Ensure AI use cases meet regulatory requirements including EU AI Act
• AI Project Leads – Navigate the intake and approval process efficiently
• Cross-Functional Implementation Teams – Coordinate stakeholder input and accountability

What’s Included

The framework provides practical tools and guidance for your organization:

• Risk Categorization Matrix – Classify use cases by risk level per EU AI Act tiers
• Data Security Assessment – Evaluate data handling, privacy, and security requirements
• Stakeholder Assignment Template – Define roles and accountability for each use case
• Intake Review Worksheet – Structured evaluation criteria for review committees
• Implementation Checklist – Best practices for responsible deployment

For Corporate Members

RAI Institute corporate members have access to the complete AI Use Case Intake Framework through the RAI Hub premium assets portal, along with additional implementation support and community resources.