Use Case 2 - The Knowledge Layer: Thinner Agents on a Smarter Substrate
AI agents need more than capable models. They need access to the knowledge that makes enterprise data meaningful: business concepts, relationships and context. What if we organised that knowledge in a shared layer, allowing agents to become thinner, simpler and better grounded? This talk explores how knowledge graphs provide that foundation, connecting enterprise data and semantics to support agentic AI. Through practical examples and customer stories, we will show how a knowledge layer built on Neo4j can help agents retrieve relevant information, navigate connected data and deliver more accurate, explainable results.

