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‍ AI has moved from experimentation to everyday infrastructure, shaping decisions and workflows across nearly every industry. However, in the rush to harness its speed and efficiency, many enterprises adopted GenAI and other AI systems faster than they built the structures necessary to govern them. The result is an all-too-familiar pattern of powerful technology being deployed widely before its risks are fully understood, let alone managed. ‍

‍AI systems are being woven into the fabric of business operations at a pace that outstrips the structures needed to safely scale them. McKinsey’s latest State of AI report shows that nearly two-thirds of organizations are still stuck in experimentation or pilot mode, unable to systematically expand AI usage across the business. Although leaders cite early benefits in efficiency, revenue gains, and innovation, only 39% report enterprise-level impact.