Second Annual AI for Payment Integrity Summit Focuses on AI-Powered Early Intervention Strategies

Healthcare payment integrity executives will explore how using AI to “shift further left” than even prepay will simultaneously reduce costs and strengthen provider relationships

ATLANTA, March 13, 2025 /PRNewswire/ — AI for PI Community, the premier group of healthcare payment integrity professionals seeking to learn about and accelerate the adoption of artificial intelligence (AI) to improve healthcare payment accuracy, today announced it will host its second annual AI Summit on June 2-3, 2025. The in-person event will be held at the Atlanta Renaissance Airport Gateway Hotel.

The AI Summit, themed “Charting a New Course in Payment Integrity: Harnessing AI for Early Intervention to Strengthen Provider Relationships and Maximize Savings,” will bring together healthcare payer executives to discuss the industry’s urgent need to ‘shift further left’ than even prepay to AI-driven early intervention – a transformation that simultaneously reduces provider abrasion while maximizing cost savings.

Healthcare executives will gain actionable insights on:

• Implementing AI at critical upstream decision points to prevent payment issues before they occur
• Creating transparent provider partnerships that eliminate the traditional friction of claims denials and recovery
• Real-world case studies showing dramatic reductions in costs while strengthening provider relationships

The industry keynote address will be delivered by U.S. Representative Jay Obernolte of California’s 23rd District. As a co-chair of the bipartisan House Task Force on Artificial Intelligence, Congressman Obernolte’s unique background as both a computer scientist and AI policy leader enables him to discuss how emerging AI frameworks can support the industry’s shift from post-payment recovery to pre-payment accuracy while addressing broader healthcare cost challenges. His keynote will focus on: 

• AI policy frameworks supporting payment transformation
• Innovation strategies for operational efficiency
• Balancing technological advancement with implementation challenges
• Future outlook for AI-enabled healthcare cost containment

The opening session will be given by Musheer Ahmed, PhD, the founder of the AI for PI Community. He will share how the AI for PI Community has grown from a vision to a movement of forward-thinking healthcare leaders united in their mission to transform healthcare payment integrity through AI-driven early intervention. Drawing from real implementations and community success stories, Dr. Ahmed will explore:

• The industry’s urgent need to shift from reactive to proactive approaches
• How early adopters are achieving breakthrough results
• The critical role of provider collaboration in successful transformation
• Emerging trends and opportunities in AI-driven payment integrity

“The AI for PI Community brings together payment integrity leaders, innovators, and policymakers who are shaping the future of healthcare—making it smarter, more efficient, and more affordable,” stated Dr. Musheer Ahmed, Founder of the AI for PI Community and CEO of Codoxo. “Strengthening provider partnerships and cutting down on administrative burdens have never been more important. This year’s AI Summit will spark meaningful conversations on AI’s role in driving tangible, meaningful change in healthcare payment integrity.”

For information and to register for the 2025 AI Summit, visit https://aiforpaymentintegrity.com. Payment integrity professionals and industry stakeholders are encouraged to join the private AI for PI LinkedIn Group and follow the public AI for PI Community LinkedInPage.

About the AI for PI Community
At the intersection of healthcare payment integrity innovation and artificial intelligence, the AI for PI Community brings together forward-thinking healthcare professionals passionate about transforming payment integrity. By learning about and accelerating the adoption of artificial intelligence technologies and solutions, the AI for PI Community focuses on collaboration, knowledge sharing, and practical innovation to collectively and actionably reduce the rising cost of care, moving towards an affordable U.S. healthcare system.

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SOURCE AI for PI Community