[Healthcare AI]: UnitedHealthcare's Avery - How Big Insurance is Using AI to Fix Healthcare's Navigation Problem

Healthcare in America is famously broken. Insurance benefits are incomprehensible. Appointments are impossible to schedule. And bills arrive months later, inexplicable and alarming. On March 26, 2026, UnitedHealth Group—the largest health insurer in the United States—launched Avery, an AI companion designed to fix this exact problem for 20.5 million commercial, Medicare, and Medicaid members. It's the biggest deployment of AI in healthcare history. But can artificial intelligence solve what is fundamentally a human and regulatory problem?

Introduction

"People want healthcare to be easier to use and tailored to their personal needs," said Dan Kueter, CEO of UnitedHealthcare, in announcing the launch. "That's exactly what Avery provides."

The timing is significant: UnitedHealthcare has been under intense public scrutiny following the killing of insurance executive Brian Thompson in December 2024—a murder that sparked a national conversation about the frustrates behind American healthcare. Avery represents the company's most concrete response: an AI assistant that promises to cut through the bureaucratic tangle that makes healthcare so frustrating.

What Avery Does

Benefits Navigation

The most basic function: explaining what benefits a member actually has. Most Americans don't understand their own insurance— Deductibles, copays, out-of-pocket maximums, and in-network vs. out-of-network rules are notoriously confusing. Avery can answer questions in plain language: "What does my plan cover for physical therapy?" "How much will I pay for this prescription?"

Appointment Scheduling

Rather than calling around to find a doctor who both accepts the member's insurance and has availability, Avery can search provider networks and schedule directly.

Cost Estimates

Before a procedure or test, members can ask Avery for a cost estimate based on their specific plan—an attempt to solve the "surprise billing" problem that has frustrated patients for years.

Claims Status

Rather than navigating confusing portals or waiting on hold, members can simply ask: "When will my claim be processed?"

Provider Search

Finding an in-network specialist has never been easier: Avery can match members with appropriate providers based on location, specialty, and availability.

The Scale of the Rollout

UnitedHealthcare expects Avery to be available to 20.5 million members by the end of 2026���making it the largest healthcare AI deployment in history. The rollout covers commercial plans, Medicare Advantage, and Medicaid managed care plans.

This isn't a small pilot. This is the company effectively betting its customer service future on AI.

Why This Matters Now

Post-Assassination Scrutiny

The December 2024 killing of Brian Thompson transformed UnitedHealthcare from a faceless corporation into a symbol of everything wrong with American healthcare. The public's reaction—widespread glee at the murder of a health insurance executive—revealed just how toxic the industry had become.

Companies responded with security lockdowns. UnitedHealthcare responded with... more AI? The strategy might seem tone-deaf, but it reflects a genuine belief that technology can address at least some of the root frustrations.

The $7 Trillion Question

According to the Boston Institute of Analytics, generative AI delivered "actual benefits" in the week leading up to March 2026—the first week where there was "critical evidence" that AI was transitioning from a "temporary trend" to delivering "real value." Healthcare is where that rubber meets the road.

American healthcare is a $4.5 trillion industry. If AI can even marginally improve efficiency, the savings compound.

The Challenges

Trust Deficit

Can you trust an AI from the company that denied your claim? That's the fundamental question UnitedHealthcare faces. For years, insurers have used AI to deny claims—it should surprise no one that members are skeptical when the same industry offers AI to help.

Avery's success or failure will depend on whether members believe the AI is actually trying to help them, rather than finding ways to save the company money.

Accuracy and Liability

In healthcare, errors are expensive. If Avery gives incorrect cost information and a member undergoes an unexpected procedure, who pays? If Avery recommends the wrong provider, whose liability is it?

These questions don't have clear answers. And until they do, human oversight remains essential—which undermines the efficiency argument.

Regulatory Complexity

Healthcare regulations vary by state—sometimes dramatically. Avery needs to navigate not just UnitedHealthcare's policies but a patchwork of state mandates. One state's required coverage is another state's excluded service.

What This Tells Us About Healthcare AI

Avery represents the largest bet yet placed on AI in healthcare. But its launch reveals the fundamental tension: insurers have historically used technology to reduce costs (i.e., deny claims). Now they're asking users to use technology to navigate the system they created.

The success or failure of Avery will shape whether healthcare AI goes mainstream—or remains a promising experiment that couldn't overcome user distrust.

Conclusion

Avery is either the future of healthcare or a sophisticated deflection from the real problems with American insurance. Perhaps it's both. What is certain: with 20.5 million potential users, we'll have an answer soon enough.

The question isn't whether AI can help navigate healthcare—the question is whether the company delivering that AI can be trusted. That's a question only users can answer.