Learn how to establish AI governance across your organisation, from assigning decision-making responsibilities and managing risks to monitoring AI systems and maintaining accountability.
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This guide is designed for business, technology, and governance leaders responsible for managing AI across their organisations. It explains how to establish clear ownership, manage risks, implement governance controls, and maintain accountability from development through production.
Explore how organisations can apply AI governance at every stage, from evaluating new AI use cases and approving deployments to monitoring production systems and managing risks.
Evaluate AI applications, identify risks, and establish approval requirements before development.
Integrate governance controls, testing, and reviews into AI development workflows.
Validate AI systems against defined requirements before deployment.
Monitor AI performance, detect failures, and manage corrective actions.
Reassess risks and governance requirements when models, data, or system configurations change.
Maintain records of decisions, risk assessments, controls, and approvals for accountability.
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