What is AI governance consulting?
AI governance consulting helps organizations establish the policies, decision rights, oversight practices, and reporting needed to manage AI responsibly. It addresses questions such as who can approve AI use, how risks are recorded, how employees use generative AI, and how boards receive visibility into deployments. The work focuses on governance and accountability rather than building, deploying, or tuning AI models.
Why does a board need an AI governance framework?
A framework gives directors and executives a consistent way to oversee AI adoption, understand material risks, assign accountability, and document decisions. It can help the board address employee AI use, generative-AI risk, regulatory scrutiny, shareholder questions, and acquisition diligence. A practical framework turns broad oversight expectations into defined responsibilities, reporting, policies, and review practices.
What does an AI risk register include?
An AI risk register records relevant AI risks, their business significance, ownership, decision status, and oversight needs. It provides a structured view of where AI is being used or considered and helps leadership distinguish issues requiring escalation from those managed within existing processes. The register can support board reporting, policy development, and recurring governance reviews.
Can you create an AI policy for our board?
Yes. The AI Governance Starter Pack includes a one-page board-level AI policy, supported by an AI risk assessment and decision-rights map. The policy is designed to clarify oversight responsibilities and provide directors with a usable governance reference. The engagement also includes a facilitated briefing that walks directors through the framework and their responsibilities.
Do you build or implement AI systems?
No. These services are focused on governance, oversight, risk management, policies, decision rights, and board communication. They do not build, deploy, or tune AI models. This separation allows the advisory work to remain focused on helping boards and executives understand exposure, assign accountability, and make defensible decisions about AI adoption.
How can AI governance support regulatory and shareholder scrutiny?
A documented governance framework gives leaders evidence of how AI risks are identified, assigned, monitored, and reported. Decision-rights maps, risk registers, policies, and board-ready updates can help demonstrate that oversight is active rather than informal. The specific documentation needed will depend on the organization’s operations, regulatory environment, AI use cases, and reporting obligations.
Is this service suitable for organizations without formal AI governance?
Yes. The AI Governance Starter Pack is designed for boards moving from no formal AI governance toward a working and defensible framework. It provides an AI risk assessment, decision-rights map, one-page board policy, and facilitated director briefing. Organizations needing continuing oversight can consider the broader AI Risk Governance service and its recurring governance review structure.
What is the difference between AI governance and AI risk management?
AI risk management identifies and addresses risks associated with AI use, while AI governance establishes who makes decisions, what policies apply, how oversight operates, and how leadership receives evidence. The two disciplines work together. Governance provides the accountability structure; risk management supplies the assessment, prioritization, monitoring, and response practices within that structure.