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Hari Nair

Hari Nair

Healthcare AI Transformation Leader, HxAI

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About

Hari Nair is a healthcare technology leader with 25 years of experience across payers, providers, and life sciences organizations. His background spans enterprise AI strategy, large-scale program governance, and agentic AI deployment across the full healthcare value chain, from clinical operations and benefit management to population health and revenue cycle.

At NTT DATA, where he spent nearly nine years, Hari led the Industry Solutions Group for Healthcare and Life Sciences, setting solution strategy and market positioning across Payer, Provider, and Integrated Healthcare domains for one of the largest global IT services organizations. Before that, he spent thirteen years at Cognizant, where he served as Healthcare Solutions Lead for the Southeast and Midwest US regions, leading integrated solution development for complex strategic pursuits across IT infrastructure, application delivery, and enterprise transformation.

Across his career, Hari has architected and contributed to healthcare transformation programs scaling to $1B+ and has led delivery portfolios of 700+ FTEs. That track record gives him a practical, operational orientation that most healthcare technology strategists in this space do not have, he has governed the programs, not just advised on them.

Hari holds an Applied Agentic AI for Organizational Transformation certification from MIT Professional Education (issued June 2026), an Executive Program certification in Artificial Intelligence and Machine Learning from IIM Visakhapatnam, and is an AWS Certified Solutions Architect. He also holds the PAHM (Professional in Healthcare Administration and Management) designation and is a SAFe Agilist and Certified ScrumMaster.

At HxAI, Hari works with health systems, payers, pharma companies, and HealthTech vendors across the full agentic AI deployment lifecycle.

His writing covers agentic AI in healthcare, multi-agent workflow orchestration, healthcare AI governance and compliance, and the operational decisions healthcare leaders face when moving from pilot to production.

More from this author

1 Article
A prior authorization request moves from the provider's steps into a CMS-0057-F compliance gate, and the payer's determination departs on a second lane

Prior Authorization

AI Prior Authorization in Healthcare: How Providers and Payers Are Automating the Full Transaction in 2026

September 15, 2026

A four-step maturity ladder from point solutions to predictive systems, with a stat callout showing under 10% of health systems have reached the third, autonomous-agent step, and the fourth, predictive step drawn hollow and dashed as not yet real

Revenue Cycle Management

AI in Healthcare Revenue Cycle Management: The Complete Workflow Map for US Health Systems

September 11, 2026

Payer AI review shown far down a fast track with a motion trail, while manual provider billing response sits barely past the starting line on a slower track, illustrating the 2026 denial speed gap

Revenue Cycle Management

AI Denial Management in Healthcare: How to Prevent, Predict, and Appeal Denied Claims in 2026

September 7, 2026

Three major health insurers, UnitedHealth at 88.9%, Aetna at 87.3%, and Elevance at 86.4%, all breaching the 85% MLR ceiling in 2026

Payer Operations

AI in Insurance Claims Processing: How Health Plans Are Pushing Auto-Adjudication Rates Past 85% in 2026

September 4, 2026

The six-stage healthcare claims lifecycle that AI now handles end to end: intake, eligibility, coding, fraud detection, adjudication, and payment

Revenue Cycle

AI in Healthcare Claims Processing: How It Works, What It Returns, and How to Get Started

September 3, 2026

The four core capabilities of agentic AI in a continuous loop: perceive, reason, act, and learn

Agentic AI

Agentic AI in Healthcare: The Complete Guide for Healthcare Leaders (2026)

August 25, 2026

End-to-end AI transformation for the US healthcare ecosystem.

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