Before you buy more AI, diagnose the gap you actually have

AI adoption is widespread, but the business value is lagging because most enterprises are using AI to speed up existing work rather than improve the decisions that drive P&L outcomes. For CIOs and technology leaders, the strategic implication is clear: the real opportunity is not buying more AI tools, but diagnosing whether the problem is a capability, design, delivery, or connection gap—and then redesigning data, workflows, and governance so AI becomes part of how decisions are made. IT organizations should move from point-solution deployment to decision-centric operating models that make AI outputs timely, usable, and mandatory in critical business processes.