Four closed-loop workflows live on one agentic spine

The AI-native operating system for healthcare.

Incumbent EHRs are open-loop systems on legacy stacks — they can't learn from their own outcomes. AxonTron closes the loop on prior auth, denials, documentation, and the in-basket, and gets smarter with every case.

The closed loop
DocumentCheckSubmitDecideAppealLearn

Legacy EHRs can't retrofit the loop.

Epic runs on MUMPS. Cerner on CCL. They were built to store records, not to act on them — so every workflow stops at a document and waits for a human. AI gets stapled on as a copilot that drafts text but never closes the loop.

AxonTron is AI-native from the first line: a real-time, event-driven plane where agents carry work from intake to outcome, and every outcome trains the next decision.

Open-loop incumbent
  • Stores the record
  • Copilot drafts, human does everything else
  • No outcome feedback
  • Decades-old core
AxonTron
  • Acts on the record
  • Agents run the workflow end-to-end
  • Every outcome trains the next
  • AI-native, event-driven core

Four workflows. One agentic spine.

Each workflow is a state machine of specialist agents running through a confidence gate, a hard human checkpoint, and a learning step. New workflows register against the same spine.

Prior Authorization

Live

Assembles evidence from the chart, matches payer medical-necessity rules, predicts approval, and drafts the packet — stopping at a human gate before anything is submitted.

detect → evidence → rules → predict → draft → gate → submit → decide → appeal → learn

Denial Management

Live

Classifies every denial, estimates win-likelihood, and drafts a payer-specific appeal. Each outcome makes the next prediction sharper.

ingest → classify → strategize → appeal → gate → submit → decide → learn

Ambient Documentation

Live

Turns the encounter into a structured note, codes, and orders — then waits for the clinician's signature before committing to the record.

transcribe → note → code → orders → clinician sign-off

Inbox / In-Basket Triage

Live

Triages patient messages, drafts replies for the routine tail, and escalates anything clinical or urgent — aimed at the #1 driver of clinician burnout.

receive → classify → draft → gate → resolve / escalate

Built like a platform, not a point tool.

The same principles run under every workflow — which is why the next one is configuration, not a rewrite.

AI as the operating system

Agents don't sit beside the workflow — they run it. Every process is an orchestrated, model-driven loop, not a form with a copilot bolted on.

Closed loops, everywhere

Every workflow captures its outcome and feeds it back into prediction and a payer-rules knowledge base. The system gets measurably better each cycle.

Supervised autonomy

Agents run the analysis automatically, but a hard human gate stands before any external submission. Confidence-gated, fully auditable, clinician-in-control.

Vendor-swappable core

FHIR, clinical NLP, payer gateways, and the LLM all sit behind ports. SMART-on-FHIR, X12 278, and Comprehend Medical plug in without touching the agents.

Multi-tenant, role-based, and audited end-to-end. Synthetic data today; HIPAA controls switch on for the first pilot.

See the loop close, live.

Watch agents run a case to the human gate, draft a payer-specific narrative, handle a denial, and update the model — all on synthetic data, no PHI.