A comprehensive, five-pillar approach to managing AI systems responsibly. Based on industry standards including NIST AI RMF, ISO 42001, and regulatory requirements.
Effective AI governance requires a systematic approach that addresses the entire lifecycle of AI systems. Our framework breaks down this complex challenge into five interconnected pillars, each building on the previous one to create a robust governance program.
Unlike purely theoretical frameworks, this approach is designed for practical implementation. Each pillar includes specific activities, tools, and templates that organizations can adapt to their context. Whether you're just starting your AI governance journey or looking to mature existing practices, this framework provides clear guidance for every stage.
The pillars work together: you can't effectively assess risk without knowing what AI you have, you can't implement controls without understanding the risks, and you can't monitor compliance without policies to measure against.
PILLAR 01
Establish visibility into AI usage across your organization
PILLAR 02
Define clear rules and guidelines for responsible AI use
PILLAR 03
Systematically evaluate and prioritize AI-related risks
PILLAR 04
Implement protections to ensure safe AI deployment
PILLAR 05
Maintain ongoing oversight and continuous improvement
Use our maturity model to understand where you are today and identify priority areas.
Take Assessment →Access ready-to-use policy templates, checklists, and assessment tools.
Get Templates →Focus on one pillar at a time. Start with Discovery to build visibility.
Start with Discovery →Aona AI provides enterprise AI governance solutions to help you implement this framework at scale.
