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AI adoption is accelerating across every industry—but governance is struggling to keep up. In my latest eBook, The AI Governance Maturity Model, I introduce a practical framework to help organisations understand where they truly sit on the governance spectrum. Rather than treating governance as a binary “have it or don’t,” the model defines five clear maturity levels—from ad hoc and reactive, through to fully strategic and industry-leading—alongside seven critical domains that determine whether AI is being governed effectively or simply assumed to be.
The goal isn’t to score highly—it’s to be honest. Most organisations will find themselves earlier in the maturity journey than expected, not due to negligence, but because AI adoption has outpaced governance structures. The value of the model lies in turning that insight into action: identifying gaps, prioritising improvements, and building a measurable pathway toward stronger, evidence-based governance. The question isn’t whether your organisation governs AI—it’s how well, and what you’re doing to improve.
