What we actually run
- AI tool inventory, continuously maintained — not a one-time audit that goes stale next quarter
- Policy specific enough to act on — concrete boundaries on what data categories can and can't go into third-party AI tools
- Approval pathways fast enough to actually use — the biggest driver of shadow AI is a slow or missing approval process
- Audit committee and board reporting, built from operational reality and delivered on a cadence that means no surprises
- Agentic AI oversight — as agents move from chat tools to systems that take actions, governance has to extend to what they're authorized to touch
Why this sits with operations, not just policy
80% of enterprises lack a mature governance model for agentic AI (Deloitte, State of AI in the Enterprise, 2026) — and the gap between “we have a policy” and “we know what's actually happening” is exactly where shadow AI lives.
It's usually IT operations, not the policy team, that has the visibility to close that gap — which is why AWHIND runs governance as part of the same operating team handling your service desk, endpoint management, and NOC.
What you get
- A defensible, current answer when a client, auditor, or board member asks what AI is actually running
- Policy your employees follow because it's specific, not a policy they route around because it's vague
- Ongoing monitoring instead of an annual point-in-time review
- A direct line from operational signal to governance action — no handoff gap