The White House’s AI Action Plan just greenlit a new era of AI adoption. Here’s what it means for healthcare’s back office

Earlier this month, The White House released its most ambitious AI action plan to date, placing a major spotlight on healthcare. 

The plan calls into focus the slowness of uptake of AI in the healthcare sector and highlights opportunities – largely clinical – to accelerate exploration through economic and strategic imperatives: 

• Removing regulatory barriers to unlock faster, private-sector-led AI development.
• Fast-tracking data centers, energy upgrades, and U.S. investment in chips and compute power.
• Promoting U.S. AI exports, enforcing national security controls, and setting global tech standards.

So, while clinical use cases have dominated the conversion from diagnostics to imaging to personalized medicine, this action plan makes a broader appeal: it’s time to explore AI’s full potential across all aspects of the healthcare system. 

AI moves into the healthcare critical path

It’s no secret among those in the industry that AI hasn’t always been welcomed with open arms in healthcare. 

Despite years of buzz, adoption has been slow, especially in administrative and operational workflows. 

Many health systems have approached AI with caution, citing concerns over regulatory compliance, data security, and the explainability of AI decisions. 

And that hesitation wasn’t unfounded: black-box models and overhyped promises have led to justifiable skepticism. 

But the tide is turning. 

The new federal strategy signals a tipping point — moving AI from an experimental tool to a critical infrastructure investment.

The National AI in Healthcare Strategy emphasizes these key pillars: 

• Accelerating AI innovation – removing red tape and streamlining federal rules to spur private-sector-led development.
• Building American AI infrastructure – fast-tracking permits for data centers and semiconductor facilities, expanding energy infrastructure, and investing in domestic AI hardware and compute capabilities.
• Leading in international AI diplomacy and security – promoting U.S. AI exports, enforcing export controls tied to national security, and positioning American standards globally.

These priorities are quickly becoming table stakes for vendors and health systems looking to scale.

The AI Action Plan makes back-office transformation a national priority—but whether that shift becomes reality will depend on vendors, health systems, and policy makers bridging the gap between aspiration and execution. We see that as both a challenge and a responsibility.

The back office as healthcare’s AI frontier

While clinical AI gets most of the headlines, it’s the provider operations layer — medical credentialing, payer enrollment, licensing, compliance, onboarding — that’s ripe for transformation.

According to Medallion’s 2025 State of Enrollment and Credentialing report, 51% of payer enrollment and credentialing teams experienced turnover last year, leading to workflow disruptions and revenue delays. Meanwhile, 65% of enrollment-related tasks are still handled manually, exposing teams to inefficiencies, and 44% report being understaffed for their workloads — even without open roles. 

These workflows are governed by regulation, reliant on data accuracy, and chronically under-resourced. That makes them an ideal space for AI tools that are transparent, explainable, and designed with compliance in mind.

At Medallion, we’ve been investing in exactly this kind of operational AI. Our approach is built around secure, traceable automation — not black-box systems. 

And we’ve seen firsthand how AI in healthcare credentialing and payor enrollment can reduce onboarding times, eliminate redundant tasks, and expand provider capacity.

Compliance, security & responsible AI governance

The White House's AI policy framework also spotlights the need for security and responsible AI governance, especially when tools interact with regulated health data.

Medallion’s infrastructure is built to exceed industry standards:

• SOC 2 Type II–certified workflows.
• HIPAA-aligned credentialing automation.
• Secure access controls and audit logs built into every layer.

We’re also exploring LLM-backed tools for healthcare operations, with strict human-in-the-loop oversight and that means leveraging AI to accelerate complex decisions. Not remove critical oversight.

The federal government’s latest move confirms what many in the industry already felt

And as national guardrails around bias and oversight loosen, back-office automation must hold itself to higher standards. That’s why Medallion builds AI that’s explainable, audit-friendly, and designed to minimize risk — not just maximize ROI. 

To learn more about how Medallion is applying AI to streamline credentialing, licensing, and enrollment workflows, get in touch with our team.