As organizations scale AI initiatives, AI assets are increasingly created across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks. This makes it difficult to maintain a clear inventory of AI use cases, models and agents across the enterprise. Without centralized visibility, organizations struggle to understand which AI systems exist, who owns them and how they evolve over time. A unified registry becomes essential to track AI initiatives consistently and…