AI agents for the non-clinical work that's drowning healthcare.

AI agents for healthcare operations: prior auth, denials, appeals — the paperwork that decides whether care gets paid is still read by hand. We build agents that do that work, with a clinician in the loop, in production.

The waste is structural, not occasional.

Administrative drag in US healthcare is measured in hundreds of billions a year. Most of it sits in document-heavy workflows that an agent can read, decide on, and draft faster than a queue of overworked staff.

$30B
spent annually on prior-auth processing
$260B
in claims initially denied each year
$150B
US admin savings opportunity by 2026
24/7
agent coverage, no queue, no backlog

Ten agents for healthcare. Pick the one that hurts.

Each one owns a single workflow end to end, with a human on the decisions that matter. Hours below are arithmetic on typical clinic volumes — run it on yours — not results from a named client.

Front deskLive

AI Medical Receptionist

Answers every inbound call, books and reschedules, triages urgency, and routes anything clinical to a human. It never puts a patient on hold and never misses the after-hours call.

~25 hrs/weekof front-desk phone time at 150 calls a day
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Revenue

Prior Authorization

Reads the order, pulls the supporting evidence out of the chart, matches it to that payer’s current medical-necessity policy, and hands your staff a submission-ready packet to approve.

~750 hrs/monthat 2,800 auths — 20 minutes each down to about four
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Clinical

Medical Scribe

Listens to the visit, drafts the note in your own template, suggests the codes, and waits for the clinician to sign. The chart is done before they leave the room.

~2 hrs/dayof after-hours charting back, per clinician
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Front desk

Patient Intake

Collects history, medications, allergies and insurance before the patient arrives, flags what’s missing, and writes it into the chart instead of onto a clipboard.

~8 min savedper new patient, and no re-keying at the desk
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Operations

Clinic Operations Copilot

Watches the schedule for no-show risk, gaps, and room or staff conflicts — then proposes the fill before the slot is lost. Your manager approves with one click.

3–5 slots/weekrecovered per provider
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Care

Patient Follow-Up

Runs post-visit check-ins, medication adherence nudges, and recall outreach on schedule — escalating anything that sounds clinical to a nurse with the history attached.

~12 hrs/weekof nurse callback time
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Records

Document Analyzer

Reads inbound faxes, referrals, discharge summaries and lab reports, pulls out what matters, and files it to the right chart under the right heading.

~300 hrs/monthat 3,000 documents — about six minutes each
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Knowledge

Hospital Knowledge

Answers staff questions on policy, protocol and formulary from your own documents, with the source page cited every time. No more hunting the intranet mid-shift.

~30 min/shiftper clinician, back from searching
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Revenue cycle

Claim Validator

Checks every claim against that payer’s rules before it goes out and flags what would come back denied — so the fix happens once, not after a 30-day round trip.

~40 hrs/monthof biller rework avoided
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Pharmacy

Prescription Companion

Handles refill requests, checks interactions, triggers medication prior-auths early, and sends the patient instructions they can actually follow. Prescribing stays with the prescriber.

~10 hrs/weekoff the pharmacy line
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How to get one

Pick an agent above and the brief opens with it filled in — tell us your volumes and we come back within one business day with a scoped plan and a real number. Every agent ships the same way: baseline first, evaluated against your own cases, six weeks running alongside your team, then live. See how a sprint runs.

Built for the constraints, not around them.

Healthcare is regulated, audited, and unforgiving of confident wrong answers. We design for that from the first sprint, not as a compliance bolt-on at the end.

THE RULE

No agent output reaches a payer without a human who can see exactly why the agent decided what it decided.

  • HIPAA-aligned deployment. PHI stays inside your environment under a BAA. No training on your data, no PHI leaving the boundary you control.
  • Clinician in the loop. The agent prepares the work; a qualified human approves it. Every output is reviewable, editable, and attributable before it ships.
  • Evidence mapped to payer criteria. Each decision cites the chart facts and the policy language it relied on — so reviewers verify in seconds, and appeals stand up to audit.
  • An eval framework from day one. We measure accuracy against a labeled set before go-live and keep scoring in production — where the agent is right, where it defers, where it improves.

Security, data handling, and our subprocessor posture are documented in full — see Trust & Security and Privacy.

Ask about a health-ops audit.

We map your prior-auth and denials volume, the dollars stuck in each queue, and where an agent pays for itself first. You get a scoped plan, not a pitch.

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