Assess your organization's AI governance capabilities and chart your path to maturity. This five-level model helps you understand where you are today and what steps to take next.
AI governance maturity evolves through progressive stages. Organizations don't jump directly from no governance to comprehensive programs — they advance through levels, each building on the previous one.
The model recognizes that AI governance excellence looks different for different organizations. A small startup might be appropriately mature at Level 3, while a large financial institution might need Level 4 or 5 capabilities.
Maturity advancement requires sustained commitment. Moving from one level to the next typically takes months or years. Don't try to skip levels — each stage builds essential capabilities needed for the next.
Little to no formal AI governance. AI usage is unmanaged and reactive.
Basic governance practices emerging. Initial policies and processes defined.
Documented processes and standards. Governance is systematic but not yet fully mature.
Quantitative management and continuous improvement. Governance is measured and optimized.
Continuous innovation and optimization. AI governance is a strategic capability.
Answer these questions to gauge your organization's current maturity level across the five pillars.
0-20%:Level 1 (Ad-hoc) — Start with basic discovery and policy development
21-40%:Level 2 (Initial) — Focus on formalizing and communicating policies
41-60%:Level 3 (Defined) — Work on automation and enhanced risk management
61-80%:Level 4 (Managed) — Pursue quantitative optimization and benchmarking
81-100%:Level 5 (Optimized) — Drive continuous innovation and industry leadership
Use our framework, templates, and guidance to build the capabilities needed for your next maturity level.

Empowering businesses with safe, secure, and responsible AI adoption through comprehensive monitoring, guardrails, and training solutions.
Copyright ©. Aona AI. All Rights Reserved