Working understanding of how AI agents are built and deployed in enterprise environments: how agents connect to business data sources, what frameworks like LangChain, LlamaIndex, or platform-native agents like Snowflake Intelligence and Databricks Genie look like in practice, and where data quality and classification issues create risk in those workflows. Our platform combines data observability, data catalog and lineage, data classification, and the Agent Trust Hub, which gives teams an agent registry, data access mapping, and trust signals across data quality, classification, lineage, governance, ownership, and cost for every agent running in production.