Powering Payer decision-making with
AI agents

As payer organizations navigate increasing complexity across data, regulation, and member expectations, the challenge is no longer limited to accessing information. The real challenge lies in translating large volumes of data and intelligence into timely, confident decisions that can be acted on consistently across teams.

This on-demand webinar explores how AI agents and agent-first architectures, built on Snowflake Cortex, are reshaping the way Payer organizations approach decision-making. Through a combination of practical examples and live demonstrations, Snowflake and CitiusTech illustrate how AI agents interact with data, analytics, and end users to reduce manual effort, simplify workflows, and support faster, more informed actions at scale.

Rather than focusing on analytics in isolation, the discussion highlights how Payer teams are moving beyond traditional reporting and dashboard-driven models toward AI-driven decision intelligence. The session shows how agent-powered approaches can support both technical and business users by embedding intelligence directly into workflows, enabling proactive interventions, and maintaining enterprise-grade governance and trust.

What you’ll learn: 

• How AI agents and agent-first architectures are reshaping Payer decision-making
• A practical look at Cortex Code for accelerating analytics and reducing development effort
• Ways to break down departmental data silos for unified member and claims insights
• How Payers can enable proactive interventions using AI-powered analytics
• Best practices for building trusted, governed, and scalable AI-ready data platforms

Speaker Panel