Introducing decision-machine-1: a language model for decisions, not prose
Healthcare

The intake, referral, prior auth. Handled inside your rules.

For CMIOs, clinical operations leads, and heads of care coordination. The work determines whether a patient gets seen this week or next month. It has to be right, documented, and fast. CloudRaker runs it inside your rules.

Inside CloudRaker

Prior auths and referrals, assembled from the chart.

The case for the architecture

Why the architecture matters here.

A clinical scoring field expected an integer from zero to nine. In a standard AI stack, the model was asked to fill it. The model filled the silence with a sentence. The downstream field was permissive. The sentence went through. The tool accepted it.

The failure wasn't the model being wrong. The failure was the system accepting anything the model produced.

In CloudRaker, the workflow knows the field is zero to nine, rejects anything else, and pauses for a clinician. This pattern shaped how every healthcare workflow is built.

What CloudRaker runs

The processes.

Healthcare

Clinical intake

Structured forms, field-level validation, clinician handoff.

  • Parse
  • Fill
  • Extract
  • Compose
  • Classify
  • Redact
  • Convert
Healthcare

Referrals and triage

Parsed, routed by specialty and urgency, acknowledged.

  • Parse
  • Classify
  • Extract
  • Compose
  • Redact
Healthcare

Prior authorization

Payer-specific packets assembled against the chart.

  • Split
  • Parse
  • Extract
  • Fill
  • Compose
  • Merge
  • Convert
  • Sign
Healthcare

Patient correspondence

Letters, reminders, follow-ups grounded in the record.

  • Extract
  • Compose
  • Convert
  • Redact
Healthcare

Medical Scribe

Encounter recorded, PHI handled in-pipeline, note attested by the clinician who saw the patient.

  • Split
  • Parse
  • Redact
  • Extract
  • Compose
  • Classify
  • Sign
See details
Architecture · Healthcare

How it holds.

The EHR, the practice management system, the e-fax, the document vault: these are your systems of record. In CloudRaker, the model never holds their credentials. It reads what's placed in front of it and produces structured intents. A workflow validates the structure, checks the rule, and routes for approval. An algorithm writes to the chart. Field-level validation isn't a feature toggle. It's how the system works. A field that expects an integer rejects a sentence. A diagnosis code outside the catalog stops the write. The clinician sees the pause before the chart sees the change.

Who this is for

Teams already running this work.

Virtual-care and hybrid-care operators. Specialty clinics with structured intake. Home-care and community-care teams. Care-coordination and case-management teams.

Bring a real referral.

A real referral letter or a real intake form. We'll run the process against it, show the field-level validation, and walk through the pause points. Five minutes to your first run.