The Department of Health and Human Services’ AI Strategy marks a decisive shift from experimentation to enterprise execution. Artificial intelligence is no longer confined to pilots. It is being established as core infrastructure across public health, human services, and federal health operations.
This white paper examines what that shift requires in practice. It outlines how federal health agencies can operationalize AI at scale by aligning governance, security, operating models, and workforce readiness without compromising trust, compliance, or mission accountability.
Drawing on federal mandates, adoption trends, and proven execution patterns, the paper provides practical insight into how agencies can move from AI policy to measurable, defensible outcomes.
In this paper, you’ll learn:
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What HHS’s AI Strategy requires beyond pilots and proofs of concept
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How governance and Zero Trust enable scalable AI adoption
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Where AI is already delivering impact in public health and program integrity
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What operating models support trustworthy AI at enterprise scale
