AI Risk & Governance Review

What the review covers

• Data usage and access controls across AI-enabled workflows.
• Internal policy alignment and accountability for AI-influenced decisions.
• Vendor and third-party AI tool risk exposure, including supply chain considerations.
• Governance structure, oversight cadence, and escalation paths.

Why governance is the lever

Most organizations skip directly from awareness to adoption. The middle step, governance, gets compressed into a one-page policy that nobody references. The result is exposure that does not appear in any report leadership has been reading.

This review establishes the controls layer. Not so heavy that it slows the organization down, not so light that it provides no defensible posture when a regulator, auditor, or board asks the obvious questions.

What the engagement produces

• A current-state governance map covering policies, owners, decision rights, and review cadence.
• A vendor risk inventory for every third-party AI tool in active or shadow use.
• A target-state governance design appropriate to the organization's size, regulatory posture, and risk appetite.
• A migration plan with sequencing, ownership, and measurable closure criteria.