How Composable Data Architecture Speeds Up Agentic AI ROIRecent enterprise AI deployments reveal a striking performance gap. For CIOs and data officers navigating agentic AI adoption, three data infrastructure priorities separate success from struggle: integrate data models across systems; expose data lineage for both humans and agents; and enable cross-functional data collaboration. Expose Data Lineage to Build Trust in AI Agent OutputsAI outputs are only as trustworthy as the data feeding them. Organizations that are successfully deploying agentic AI today have made data lineage a non-negotiable requirement. Key Lessons From Enterprise Agentic AI Data ReadinessThe following table highlights the most important lessons, actions and strategic considerations emerging from enterprise data infrastructure decisions ahead of agentic AI deployment.