Infinitus, healthcare’s leading agentic communications platform, set out to power its real-time provider and payer intelligence system by building a knowledge graph on Neo4j. Their system applies rules, optimizes multi-step decision pathways, and has handled about 9 million calls.

On July 9, join us for a 30-minute fireside chat with Infinitus on what it actually takes to run a graph-based AI system in production. See why high-volume workflows like healthcare operations need connected, contextual data structures to scale. 

• To manage performance and reliability in continuous decision-making environments
• To overcome architectural challenges such as traffic shaping, workload orchestration, and infrastructure design
• Graph intelligence has become a crucial piece in modern enterprise infrastructure