This whitepaper outlines a practical operating model for deploying and managing AI at enterprise scale. It addresses common challenges such as siloed teams, fragmented infrastructure, governance gaps, and rising compute costs. The paper introduces orchestration as a unifying layer that coordinates data, models, workflows, and compute resources across environments. It emphasizes cross-functional collaboration, lifecycle management, security, and accountability. By aligning people, processes, and technology, the operating model helps organizations move from experimental AI projects to reliable, production-grade systems that deliver sustained business value.

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