The Missing Component: Using a Context Layer to Teach Agents How Your Business Actually Works

As enterprises race to operationalise agentic AI, many are hitting the same wall: hallucinating models, spiralling token costs, and outputs that are hard to trust or explain. The missing piece is rarely a bigger model. It’s a stronger foundation: a knowledge layer that gives AI the context, structure and lineage it needs to be accurate and accountable at scale. The results speak for themselves: 98% retrieval accuracy, zero false positives, 60% lower token costs and 30% faster responses. In this session hosted by Hyperight, Jesus Barrasa, the Neo4j Field CTO of AI will share how customers are tackling this challenge in practice. Panellists will discuss what makes AI initiatives fail or succeed, how they’re building trust and governance into AI systems, and what a knowledge layer approach means for risk, accuracy and competitive advantage, whatever your industry. Join us for a candid, cross-industry conversation on what it really takes to move from fragmented data to contextual, enterprise-grade AI.