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This paper introduces the CASE framework, a multi-disciplinary control architecture for governing enterprise agentic AI, integrating control theory, complex adaptive systems theory, supervisory cybernetics, and engineering operations. It presents empirical studies showing an 'Emergence Gap' in current governance practices and proposes a maturity model aligned with regulatory requirements like the EU AI Act.