This report provides a data-driven view of how enterprises are rapidly transitioning from experimental AI use to fully operational agentic systems capable of autonomous action. Based on analysis of over 500 environments, it shows that more than one in four organizations have already adopted agentic architectures, with AI systems now orchestrating workflows, accessing enterprise data, and executing tasks with minimal human input. It highlights that AI footprints are significantly larger than model counts suggest, as each model is supported by multiple tools, datasets, and orchestration layers, dramatically expanding complexity and risk. The report also reveals that most AI components come from third-party dependencies, increasing supply chain exposure, while data lineage and governance rema

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