79% Of Enterprises Are Confident They Can Scale AI Without Breaking Governance. Only 29% Can Even Find The Data.

(MENAFN- GlobeNewsWire - Nasdaq) New BARC research exposes the gap between what enterprises believe about their AI readiness and what their own answers reveal, just as agentic AI raises the cost of getting it wrong

ATLANTA and LONDON, June 03, 2026 (GLOBE NEWSWIRE) -- A new research report from BARC, co-sponsored by Ohalo, finds that while four in five enterprises are confident they can extract value from their files, emails and documents for AI without compromising governance, fewer than one in three fully know where that data lives. As enterprises move AI from experimentation into production, and as autonomous agents begin acting on the data underneath, the gap between confidence and reality stops being theoretical.

The report, Harnessing Unstructured Data for AI Innovation, surveyed 225 enterprises across North America and Europe and is the first in BARC's four-report AI series to focus specifically on the unstructured data that powers AI and whether enterprises can govern it.

Co-sponsored by Ohalo, the enterprise file governance company, the report finds that confidence is outpacing capability. Enterprises believe they are ready for AI. Their own answers on where their data sits, what is in it, and how it is governed say otherwise. The result is a gap where exposure builds quietly and AI projects stall or get pulled after the work has already started.

Industry estimates put roughly 80% of enterprise data in unstructured form: the files, emails, images and documents that hold institutional knowledge, sensitive information, and the inputs AI projects depend on. The report shows most enterprises cannot account for it.

“Roughly two-thirds of AI adopters cannot effectively discover unstructured data, enforce governance policies on that data, or trace how they consume it,” said Kevin Petrie, VP of Research, BARC US.“This hurts their ability to feed agentic AI the deep context it needs to take safe actions and generate business value.”

-p alt=" Four="" donut="" charts:="" 29%="" to="" 36%="" of="" enterprises="" fully="" confident="" in="" unstructured="" data="" discovery,="" enforcement,="" and="" traceability."="" height="620" width="1100" data-dpi="96" data-caption="New BARC research finds roughly two-thirds of AI adopters can't confirm discovery, enforcement, or traceability of their unstructured data, the files, emails and documents behind their AI. Only 29% to 36% are fully confident across each. Source: BARC, Harnessing Unstructured Data for AI Innovation, 2026. Study co-sponsored by Ohalo." data-filename="Data Governance Fundamentals - Ohalo BARC Press Release />

This is what that looks like on the ground. It starts with the best of intentions. A team greenlights an AI project and points it at the file shares where the useful material lives, years of institutional knowledge, accumulating from research, clients, product launches. Then it stalls. They can't get past the metadata. No one can say with confidence what's in it, what's sensitive, or whether it's fit for purpose. So the work gets quietly handed to someone doing discovery by hand, the initiative slowly breaks down, and ROI questions start to be asked.

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