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AI Governance

AI Governance and Shadow AI: A Board Readiness Guide

AI risk often arrives faster than governance. Public tools, embedded copilots, automation platforms, and vendor features may be used without a shared view of data, access, accountability, or acceptable use.

Turn guidance into an action plan

Agree the systems and business processes in scope, assign a decision-maker and technical owner, and record what evidence will demonstrate progress. Separate immediate risk treatment from longer-term improvement, and set a review point for outstanding actions.

What leaders should do

  • Discover approved and unapproved AI use cases, tools, integrations, data types, and owners.
  • Set decision rights for procurement, data use, identity, security review, and human accountability.
  • Classify use cases by materiality, data sensitivity, customer impact, obligations, and reversibility.
  • Monitor exceptions and preserve review evidence for high-risk use cases.

Board readiness means being able to explain where AI is used, what it can access, who owns the risk, and how to respond when it fails.