Most enterprises deploy AI within their operations without formal accountability structures. This is a measurable operational reality. According to the 2025 AI Governance Benchmark Report, 80% of organizations utilize AI in operations, yet only 14% have implemented enterprise-level governance frameworks. Furthermore, Deloitte research indicates that nearly two-thirds of organizations adopted generative AI before establishing necessary governance controls. For CX leaders and CFOs, ungoverned AI is an unmanaged operational liability that compounds with every new tool added to the technology stack. Defining Operational AI Governance AI governance is a structured system of accountability. It defines how models are developed, deployed, monitored, and corrected across every business function. In an operational context, this includes real-time agent assistance, automated quality scoring, collections routing, and back-office risk detection. The NIST AI Risk Management Framework—a leading stand...