Agentic AI for Healthcare Payors Explains Modern AI Systems in Clear and Practical Terms

United States, 30th Jan 2026 - Agentic AI for Healthcare Payors is now available and provides a clear explanation of how modern AI systems can support healthcare payor operations. Written by Ripunjaya Pattnaik, the book focuses on agentic AI, a type of AI that can make decisions, learn from data, and work with other AI agents to improve results.

The book breaks down technical ideas into simple parts. Readers learn how agents read data, understand patterns, and act on information in real time. Topics such as claims adjudication, fraud risk, member support, and compliance are explained using easy language and practical examples. The book also covers how AI systems can be monitored, controlled, and audited to ensure safety and trust.

Pattnaik explains system design, data flow, and governance without overwhelming the reader. Technical readers will appreciate the structure, while non-technical readers will still find it accessible. The book is ideal for architects, analysts, IT teams, and leaders who need a clear roadmap for responsible AI adoption.

About the Author

Ripunjaya Pattnaik has spent close to twenty years helping organizations use new technology with clarity and confidence. As a Senior Solutions Architect at Amazon Web Services, he has guided teams in healthcare, finance, and other important industries through major cloud and AI changes. His work is built on trust, responsibility, and the belief that technology should make life easier for people. This belief is at the heart of his first book.

Media Contact

Organization: The Publishing Genie

Contact Person: Ripunjaya Pattnaik

Website: https://www.ripunjayapattnaik.com/

Email: Send Email

Country:United States

Release id:40764

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