Enterprise AI governance is structural, not cosmetic, and most organizations haven't made the shift yet
A MarketScale report argues that effective AI governance inside large organizations requires fundamental structural changes, not surface-level policy additions. Most enterprises, it finds, have not yet made that transition.
Why this matters: Governance that lives in a PDF does not stop a bad outcome. Real AI governance means someone has actual authority to slow down or stop a deployment, with clear rules about what data the system touches and who answers when it goes wrong. Most companies are not there yet. They have statements. They do not have structure. That gap is where accountability disappears and harms become no one's fault.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
This summary is AI-assisted and may contain errors. It is an original briefing to help you gauge significance quickly — not a reproduction of the source. Always read the linked original before relying on it. See our methodology.