Keragon Agents are here. AI teammates for healthcare ops.
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AI in Healthcare

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Introducing Keragon Agents: AI teammates built for healthcare operations

Keragon Team
September 1, 2026
September 1, 2026
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New York, September 1, 2026

Today, we’re introducing Keragon Agents: AI teammates that take on the admin that fills your team’s day, so clinicians and staff get their time back for patients.

Give an agent a job, the tools to do it, and plain-English instructions. It handles the work from start to finish. The repetitive work simply gets done, run after run.

Healthcare teams need teammates, not more tools

Healthcare operations run on countless small, repeatable tasks that all have to move forward every day. Intake forms have to reach the right team. Insurance coverage has to be checked before a visit. Patients are waiting on reminders and confirmations. Missed appointments need follow-up. Clinicians want the right context before they walk into the room.

The list never ends, and every hour spent on it is an hour taken from the work only people can do.

Keragon Agents take that work off the list. Each one owns a defined piece of operational work and carries it out the way a specialized teammate would: you hand it the tools and the rules, and it reads the context and takes the right next step on its own.

Built for healthcare’s judgment calls

Some moments in healthcare shouldn’t be decided by a machine alone: a record that could match two different patients, or a step where only a clinician should make the call.

Keragon Agents are built for exactly this: they handle the routine work with confidence and, when a moment genuinely needs judgment, hand it to the appropriate person.

Teams can also build in human review checkpoints wherever human judgment matters most, and the agent will wait for approval before moving forward. That is what lets you trust an agent with real operational work, not just busywork, and every action it takes is recorded in the HIPAA audit log.

How Keragon Agents work

Setting up an agent works much like briefing a new teammate.

  1. Choose what starts the work. An agent can run on a schedule or respond to an event: the start of each morning, a new appointment booked, an intake form arriving, a patient missing a visit.
  2. Describe what it should do. Write the instructions in plain language, no code required. For example: “When a patient misses an appointment, check whether it’s their first miss. Send one rebooking message for a routine visit, and ask a teammate to call personally if the visit is sensitive.”
  3. Connect the tools it can use. Give it access to what it needs: your EHR, scheduler, form platform, eligibility service, or communication app. An agent can only use the tools and data you allow, nothing more.
  4. Test it, then go live. Run the agent on dummy data first, so you see exactly what it will do before it touches a live system. Adjust the instructions, tighten its access, add approval steps wherever you like, then turn it on. From there it works in the background, run after run.

A team of specialists for healthcare operations

Run one agent or a whole team of them across the patient journey:

Every agent works with the tools you already use: 300+ healthcare integrations across EHRs, scheduling, billing, forms, and messaging, all on the same HIPAA-compliant platform.

More time for care

An AI teammate is supposed to take the work that never needed a person and quietly handle it. Your schedule stays full, while your front desk stops chasing. So now, your team spends its day on the part only people can do: caring for patients.

Meet Keragon Agents.

Create your first agent and put your team’s repetitive work on autopilot.

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Keragon Team
August 31, 2026
September 1, 2026
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