How agentic AI can help federal health agencies prepare for the unexpected

Few things can disrupt federal health agency missions more than being caught off guard by the unexpected, such as a novel pathogen, a sudden policy shift, or a demand surge such as  Veterans seeking mental health services. When change arrives, agencies are responsible for responding with speed and agility. The challenge isn't just reacting quickly to what is new, but preparing proactively to be ready for whatever the future may bring.

Increasingly, experts advising health leaders are looking to agentic AI as part of the preparedness equation.

Preparing for what’s coming, even when the health horizon is unclear

In a recent episode of Government Technology Insider’s Clickthrough podcast, Maximus Managing Director of Federal Health Corinna Dan points out that the COVID-19 pandemic exposed a critical vulnerability in federal health operations: when policies change rapidly, programs built on rigid workflows struggle to keep up.

But Dan is optimistic about health agencies’ capacity to leverage technology for meaningful increases in flexibility, speed, and preparedness.

Instead of  responding to one set of data collected in the past, agentic platforms can ingest real-time data and validate information workflows and response scenarios against simulated conditions before a threat becomes a crisis. 

Proactively addressing federal health policy shifts

In the federal health landscape, changes in rules governing policies and compliance compel programs to adapt—often rapidly and with the goal of maintaining mission continuity. Dan notes that the scale of this adaptation is no small task: agencies manage enormous volumes of policy manuals, legislative updates, rule interpretations, and compliance checklists that are often both agency-specific and program-specific.

Shortening the adaptation path is another way that agentic AI can help health agencies prepare smarter. When new guidance is issued, AI agents can scan updated policy documents and propagate changes into operational workflows, thereby reducing the gap between "policy published" and "program compliant."

Case in point: Dan points out that for the Centers for Medicare and Medicaid Services (CMS), agentic workflows offer promise to accelerate eligibility and enrollment processes and improve program integrity through autonomous fraud detection and claims validation. These capabilities become especially critical when eligibility rules shift under new legislation.

Delivering population-specific health programs with speed—and at scale

The adaptive capabilities of agentic platforms extend to delivery of health programs targeting specific population needs as well. For instance, AI agents could be leveraged to autonomously monitor eligibility rules for health program benefits—triggering automated alerts to beneficiaries about changes that may impact them. These automated workflows can extend to contact center environments that support Veterans and other beneficiary groups as well, ensuring that all program staff and participants are working from the same set of updated rules while reducing confusion and frustration.

Maximus' URAC-accredited CDC-INFO program—the national contact center for population health information—offers a model for how this can work in practice. This verified program architecture of continuous quality monitoring, human-in-the-loop oversight, and AI-assisted responsiveness can apply to health contact center operations for Veterans and other health programs.

Anticipating change with humans in the loop

Readying health programs for future scenarios is not a matter of deploying stand-alone AI tools, but rather orchestrated systems that work alongside human expertise. Dan emphasizes the importance of AI literacy training, human-in-the-loop protocols, and continuous model monitoring to ensure that as programs grow more capable of anticipating change, the people running them remain in control of the response.

“We pair technical training with trust building and change management strategies,” she notes. “We partner early and often with human resources, and we emphasize AI as an augmentation tool to help humans perform better—not as a replacement for our most valuable asset, our people.”

As health agencies seek to proactively manage future needs, thoughtfully applied agentic AI features paired with human oversight can make that preparation not only possible, but rapidly operational, even in the face of the unexpected.