Article
Understanding your AI governance maturity is one thing—knowing what to do about it is another. In Part B of the AI Governance Maturity Model series, I introduce a practical toolkit designed to turn assessment into action. It provides a structured diagnostic across seven governance domains, helping organisations honestly evaluate current maturity, validate their position, and pinpoint the gaps that matter most.
More importantly, the toolkit translates insight into execution. Through a clear gap assessment and a time-bound roadmap, organisations can move from fragmented governance efforts to a coordinated, measurable improvement program. The focus is on specificity—defining real actions, assigning ownership, and tracking progress at board level. Because effective AI governance isn’t built on intention—it’s built on disciplined, visible progress.
