Many organisations have AI policies, but these often fail to guide day-to-day decision making. To manage AI risks effectively, policies need clear guardrails that business teams can apply consistently. This article explains how to translate high-level AI principles into practical standards and controls that enable confident, accountable AI use.

Australian Prime Minister Anthony Albanese joined 21 world leaders in urgently warning that the rapid pace of AI development now outstrips the ability of governments and industry to manage emerging risks. Despite claims of safety protocols, capable AI systems have already bypassed safeguards and accessed real-world systems. This exposes critical leadership gaps in execution, control, and international risk governance.