Inside the healthcare AI agents market

Healthcare AI agents are hot right now, and they're being handed real tasks.

We've found a lot of interesting signals. Amazon launched Connect Health in March 2026 to help providers verify patients and write clinical notes. And Utah began a pilot allowing AI to renew some prescriptions without a doctor's sign-off, covering about 190 drugs. Healthcare agents are moving from answering questions to completing tasks.

In this section, we look at which tasks health systems hand to agents first, why tech giants and EHR vendors are moving in, and what that leaves for startups.

Healthcare still runs on phone calls, faxes and forms. Staff spend hours on work patients never see, and much of it is done by hand.

We compare healthcare AI agents for scheduling, documentation, billing and patient outreach. Then we rank what hospitals, clinics and health plans most need fixed, and which problems actually lead to a purchase.

That tells you which jobs a health system will actually hand to an agent, and which ones it still won't.

Per-seat licenses, per-call or per-task pricing, a share of the money recovered from denied claims, outsourced services run by AI, and platform fees inside the EHR: healthcare agents get paid in many ways.

We compare scheduling, billing and clinical documentation agents. Their economics differ: saving call-center time, recovering unpaid claims or charging clinicians for software. Each faces different buyers and competitors.

You'll see which models can still make money, so you don't build or fund an agent whose price drops to zero once the EHR or a tech giant ships the same thing.

We'll give you a realistic growth rate for this market. But a growth rate means little without the reasons behind it, so this section explains them.

Some drivers are easy to see: staff shortages, burned-out clinicians, and margins so thin that every saved hour counts. Others move more slowly, like EHR vendors opening their systems to outside agents, insurers moving prior authorization online, and patients who expect to book a visit or ask a question at any hour. Several of these push each other forward.

Before building or investing, you should know what makes a health system trust an agent with a task, and keep paying once the pilot budget runs out.

Hippocratic AI and Epic's built-in agents get most of the attention, but they're only part of this market.

Some of the most interesting players do one dull job very well. They call insurers to check a patient's benefits, fill out prior authorization forms, answer a clinic's phone at night, or chase unpaid bills. Patients never hear their names, but health systems pay them every month.

Why are they hard to spot? Many work under the hospital's brand, so patients think they're talking to the clinic. Others sell to insurers or pharma companies, not to hospitals. And the same label covers very different products: a scheduling voice bot and an agent that writes clinical notes have different buyers and different rules.

Here, we share the market grids and ecosystem maps we built, task by task, so you can see who's building what and where the gaps are.

Infinitus, Assort Health, Cohere Health… a few healthcare agent companies have turned one task into steady business.

Infinitus handles calls between providers and insurers. Assort Health answers clinic calls for bookings and refills. Cohere Health helps plans review prior authorizations. Each solves a real administrative problem, although competition from larger platforms remains a risk.

We'll look at how these teams picked one narrow task, earned the trust of the people on the other end of the line, and grew from there.