AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs

In production, AI agents make real decisions that affect real people's lives, and when those decisions are challenged by customers, compliance teams, auditors, or courts, you need answers. This session by Nyah Macklin from Neo4j showed the best techniques for building AI agents that will pass an audit using context graphs. Instead of black-box reasoning, you get complete decision traceability showing what information the agent considered, which factors influenced its choice, what alternatives it evaluated, and exactly how it reached its conclusion.