AI governance maturity evolves as organizations move from reactive AI use to structured, continuous governance. This infographic explains the 4 stages of AI Governance Maturity: Ad Hoc, Developing, Defined, and Optimized, highlighting how enterprises progress from unclear ownership and reactive risk management to standardized controls, continuous AI risk monitoring, automated governance workflows, and proactive risk management. It helps organizations identify their current maturity stage and understand what stronger AI governance looks like at each level.
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