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AI Governance

AI Governance QuickStart: From AI Discovery to Defensible Governance

A practical AI governance programme starts with discovery, ownership, risk-based decisions, and evidence that the organisation governs use consistently.

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

  • Create a register covering internal tools, customer-facing functionality, vendor features, and experiments.
  • Set minimum review requirements for sensitive data, autonomous action, regulated decisions, and material customer impact.
  • Define rules for approved tools, data handling, human review, access management, and vendor due diligence.
  • Review the register regularly and report material exceptions, incidents, and decisions.

The fastest route to defensible governance is a small set of controls that are used, monitored, and evidenced.