Artificial intelligence is becoming an enterprise capability that organizations must govern alongside the risks that come with it. In healthcare, that includes establishing operating models, defining accountability, and determining where human oversight belongs.

In Part 2 of 3, Muralidhar Vemulapalli, Chief Enterprise Architect and Acting Chief Technology Officer at Arkansas Blue Cross Blue Shield, joins Chris Gengo, Chief Innovation Officer at HiLabs, to discuss how business and technology teams can work together while expanding AI across the enterprise. Vemulapalli describes the importance of cross-functional collaboration, product thinking, and operating models that bring business leaders and technology teams together around shared ownership.

The conversation also explores how provider data is evolving. Vemulapalli explains that provider data is shifting from a compliance necessity to a competitive advantage as organizations focus on data quality, referral patterns, outcomes, and capacity to support decision making.

Discussion topics include:

• Cross-functional collaboration: Product ownership, operating models, and shared success between business and technology.
• Provider data: Moving from data accuracy toward actionable intelligence.
• AI governance: Responsible AI principles, operating models, AI inventories, and risk steering.
• Human accountability: AI can accelerate decisions, but accountability remains with people.
• Explainability: Transparency, traceability, model monitoring, and human review for higher-risk use cases.

As the conversation concludes, Vemulapalli emphasizes that governance supports scalable AI, while context determines how AI should be applied across different use cases. The interview continues in Part 3 of the series.

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