Agentic AI for Insurance: Modernize Your Data Foundation with AWS and MongoDB

October 15 - 11 a.m. ET

Agentic AI starts with a modern data foundation

Agentic AI is only as effective as the business context it can access. For insurers, that context spans policies, claims, customer information, third-party risk, documents, and real-time signals, often across fragmented legacy systems.

Join Jeff Needham, Field CTO, Insurance at MongoDB, and Terry Buechner, Principal Insurance Specialist, Global Core Systems Lead at AWS, to explore how insurers can modernize applications and data on AWS to create a more flexible foundation for intelligent insurance experiences. You’ll learn how AWS and MongoDB work together to help insurers simplify architecture, connect disparate systems, and enable intelligent applications and agents to securely retrieve, understand, and act on enterprise data.

What you’ll learn:

• Start with an insurance-ready data foundation: Understand how the quality, richness, and accessibility of business context shape what agentic AI can do across insurance workflows.
• Modernize without adding more sprawl: See how AWS and MongoDB can help connect legacy systems, consolidate application and data needs, and reduce architectural complexity and operational overhead.
• Build a practical roadmap to AI: Learn how to evolve from fragmented systems of record and insight toward an AI-ready foundation for underwriting, claims, pricing, and loss prevention.
• Design for governed retrieval: Explore how insurance data can be organized so intelligent agents can access relevant context while security, governance, and auditability remain part of the architecture.

Register to hear from AWS and MongoDB experts, see the architecture behind a modern insurance context layer on AWS, and bring your questions to the live Q&A.