The same principle holds for conflicting data. Two departments pulling AI-generated recommendations from the same underlying data and arriving at different conclusions isn’t an AI problem. It’s a data and definitions problem. AI just made it impossible to ignore. Say marketing claims they brought $50 million in the pipeline, and sales claim they brought $50 million as well.But the company actually has $75 million in pipeline. Someone is counting the same deals twice under different definitions. The CIO’s job is to enforce one source of truth. If your dashboard doesn’t match the authoritative one, your dashboard is wrong. That’s the only way the organization can function.

And it applies to cost, too. Not every workflow needs the most expensive model. Not every employee needs full AI access. If someone is using a top-tier model to summarize email because nobody told them there was a cheaper option that does the job, that’s a gap that CIOs need to address. The CIO’s job is to build the layer that makes the right choice the obvious one, and to provide sanctioned alternatives so employees aren’t left building their own.

That’s what actually reduces shadow AI, conflicting data and runaway spend: Alternatives, visibility and a single source of truth.