Turning AI principles into operational control AI policies are often treated as statements of intent. In practice, their value lies elsewhere: they should translate an organisation’s position on AI into clear rules, defined responsibilities, decision procedures and controls that can be applied consistently. But a policy does not create control on its own. Effective AI Governance requires organisations to connect policy with operational reality: where AI is being used, who own

What your organisation needs to know before governing AI AI is already inside organisations. Not always as a formal strategic project, not always through a board-level decision, and not always with visibility from risk, technology, compliance or governance teams. It may be embedded in productivity tools, HR software, customer support solutions, analytical models, dashboards, innovation pilots or the daily use of generative AI tools by employees. This creates a critical govern