The Control Gap

AI has entered the enterprise. But IT can't see, control, or own it.

AI is already embedded across the business, from copilots and AI tools to autonomous agents running production workflows. But adoption has moved faster than IT teams’ ability to track what's running, enforce the rules, and establish clear ownership.

A new study of more than 300 IT professionals reveals the growing gap between how quickly AI is entering the enterprise and how much control IT teams have over it.

WHY THIS RESEARCH MATTERS

The AI estate is growing. IT’s visibility isn’t

61%

of IT teams say the hardest part of AI right now is that nobody is clearly in charge.

16%

are confident they could list every AI tool, copilot, and agent in use within 48 hours.

46%

have a written AI policy, but only 13% enforce it with tooling.

72%

require human approval before pushing AI-generated patches to production, showing how heavily

What this report answers

The Control Gap examines how prepared IT teams are to manage AI as it scales across the enterprise.

Why IT teams are struggling to maintain visibility over their AI estate

What "shadow AI" actually looks like inside a company

Why written AI policies aren't actually controlling anything

What IT trusts AI to do on its own, and what it doesn't

What the ownership gap costs IT every day

How to assess the AI control gap in your organization

Think you have AI under control? Put it to the test.

The report includes a quick checklist to help you assess what AI looks like inside your organization and where you're most exposed.

The bottom line

AI has already entered the enterprise. The next challenge is making sure IT can see it, govern it, and take responsibility for it.

The organizations that pull ahead will be the ones that bring AI under control as it scales, not after something goes wrong.