As AI use grows across business lines, many organizations have patchy policies, unclear roles, and inconsistent oversight, especially where individual teams have been experimenting in parallel.
An AI Governance Assessment gives leadership a clear, independent view of current governance maturity, gaps, and risks across existing and planned AI activity.
We combine document review, stakeholder conversations, and leading‑practice benchmarks to help you see where you are today and what needs to change before AI scales further.
What this engagement includes
- Current-state review
Review of AI use cases, data flows, policies, standards, and controls across teams and functions – including how AI is approved, monitored, and overseen today. - Risk and gap analysis
Assessment of governance gaps, risks, and control weaknesses against emerging regulations, internal policies, and leading practices for responsible AI. - Findings and recommendations
A concise set of findings with a prioritized list of issues to address, practical next steps for leadership, and suggestions for quick, high‑impact improvements. - Target-state governance themes
Clarification of the policies, roles, committees, and review processes you will need as AI adoption scales, with options for sequencing the work.
Best suited for
- Organizations with multiple AI initiatives underway that want a clearer picture of their current risk posture and governance maturity before scaling further.
- Leadership teams that suspect governance gaps but need an independent, structured view of where the real issues are.
- Regulated institutions preparing for increased scrutiny from regulators, auditors, boards, or customers on how AI is being governed.
Example outcomes
- A clear map of how AI is currently being used and governed across the organization.
- A prioritized set of governance gaps and risks with practical remediation steps.
- Leadership clarity on which governance elements must be put in place now versus later as AI activity grows.
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