Payers: Is Your Data Ready for AI?

Payers Are Betting on AI — But Data Gaps Are Slowing Payers Down

AI adoption is accelerating across the healthcare payer ecosystem—from claims and prior auth to member engagement and risk scoring. But while the promise of AI is clear, most payer organizations remain far from ready. In this report, we uncover insights from 50+ senior Data and AI leaders across leading payer organizations, revealing deep challenges in data quality, governance, and alignment. The findings expose a critical readiness gap—and a clear path forward. 

What’s Inside the Report 

Discover how payer organizations are navigating the complex path to AI readiness. Based on insights from senior Data and AI leaders, this report sheds light on: 

• The disconnect between AI ambition and data trust 

• Why most data modernization efforts fall short 

• The foundational role of governance, standardization, and interoperability 

• A practical framework to assess and improve data maturity for AI success 

Don’t Let Data Be the Roadblock to AI 

AI is no longer optional for payers looking to streamline operations, reduce costs, and improve outcomes. But without high-quality, trustworthy data, even the most advanced AI initiatives are destined to underdeliver. This report helps payer leaders understand what’s holding their data back. If your AI initiatives are stalling—or you’re unsure where to start—this report offers a clear, actionable roadmap. 

Download the Report
Learn how leading payers are preparing their data for AI—and how your organization can close the gap.