As AI adoption expands across business units and technology platforms, gaining a clear view of AI activity becomes increasingly challenging. Models, agents and use cases are often developed in separate tools, making it difficult for leaders to understand where AI is deployed and where risks may emerge. predicts that by 2027, 60% of organizations will fail to realize the expected value of their AI use cases due to fragmented governance frameworks. Centralized metrics are becoming essential to…