Independent research: GraphRAG makes AI agents 80% more truthful | Read the report

NODES 26 — November 12, 2026

Aura Agent in Production: New Features and Customer Stories

Session track: Modern Applications

Session time:

Session description:

AI agents are rapidly moving from prototypes to production, but building agents that can reason over enterprise data and deliver real business value remains a challenge. In this session, you'll discover the latest innovations in Neo4j Aura Agent and hear directly from customers who are deploying graph-powered agents in production today. We'll start with an overview of the latest Aura Agent capabilities, including the features that help developers build, evaluate, and deploy agents grounded in enterprise knowledge graphs faster than ever. You'll then hear from two customers applying Aura Agent to complex enterprise use cases. AVA (AI Veterans Assistance) uses Neo4j Aura to connect U.S. Department of Veterans Affairs (VA) regulations (38 CFR), clinical evidence from medical records, and military service history in a knowledge graph. By connecting these different sources of information, AVA helps veterans assess their potential eligibility for VA disability benefits, understand how their medical and service records support a claim, identify missing evidence, and organize their records against the relevant regulatory requirements. Tokio Marine HCC International will share how they are using knowledge graphs and Aura Agent to analyze complex contract data and uncover cost-saving opportunities. By connecting vendors, locations, services, pricing, and contracts in a graph, analysis of the first 20 contracts identified significant potential savings. They’ll also show how they are using Snowflake Cortex, Aura Agent and Neo4j MCP Server into a broader multi-agent architecture for answering complex business questions. Join us to learn how organizations across industries are using Neo4j Aura Agent to build intelligent, context-aware applications that go beyond chatbots and deliver real business outcomes. What you'll learn: - Explore the latest capabilities and features in Neo4j Aura Agent. - Learn how customers are deploying graph-powered AI agents in production. - Understand the architectural patterns, challenges, and lessons learned from real-world implementations. - Get inspired by practical use cases from healthcare and other industries.

Speakers

photo of Ed Sandoval

Ed Sandoval

Sr Product Manager AI, Neo4j

Ed Sandoval is a Senior Product Manager for AI at Neo4j, where he leads development of Neo4j Aura Agent and the company’s Text-to-Cypher capabilities. He has worked across multiple waves of AI innovation, from traditional machine learning at Salesforce Einstein to pioneering vector search at Redis. Today, Ed focuses on graph-powered AI, helping developers build intelligent applications and agents that combine large language models with knowledge graphs. His work centers on GraphRAG, AI agents, and enabling teams to move from AI experimentation to real-world production systems.

photo of Trinabh Kohli

Trinabh Kohli

Data Analytics Developer, Tokio Marine HCC International

Trinabh Kohli is a Data Analytics Developer at Tokio Marine HCC International, working across data, AI and emerging technologies. A Mathematics, Statistics and Business graduate from the London School of Economics, he focuses on applying technologies such as knowledge graphs and agentic AI to complex business challenges. His focus is on turning complex information into strategic insight, identifying commercial opportunities and exploring new ways technology can create competitive advantage. Outside of technology, Trinabh has a keen interest in art, reflecting a broader curiosity for how creativity and analytical thinking can come together to shape new ideas.

photo of Christopher Walker

Christopher Walker

VP of Public Sector, Cyberhill

Chris Walker is Vice President, Public Sector at Cyberhill Intel LLC, an applied AI and data modernization firm serving DoD, the Intelligence Community, and federal civilian agencies. An AI solutions architect, product designer, and full-stack engineer, he is a retired U.S. Air Force Major whose career spanned AFCYBER/16th Air Force, NSA, AFSOC, and RC-135 Rivet Joint airborne ISR, including four combat deployments. He holds the Air Medal with two Oak Leaf Clusters, an MBA from American Military University, and a B.S. from Purdue University Global, and trained at the Defense Language Institute. He lives in San Antonio, Texas.