Data Readiness for Agentic AI in Life Sciences Explained Agentic AI in life sciences only works when enterprise data carries machine-readable context, not just availability. Many well-managed datasets still fail AI agents because business meaning, workflow logic and domain rules are missing. This guide outlines a two-track approach: enriching structured data through a context pyramid and making unstructured documents agent-ready via semantic processing, converging into a shared retrieval layer.