All use case spotlights ·Compliance & Approvals ·Intake Automation ·Collections ·Healthcare

Healthcare receivables agency

Placement-file intake automation

≈ $10M revenue (approx.) · ~60 employees · national client base

Placement files arriving in any layout are normalized into the agency's existing upload format, with a human approval queue before anything reaches the system of record. A one-and-a-half-person manual job becomes a review step.

Organization
Healthcare receivables agency, on-premise, regulated
Volume
Placement files in twenty-five to fifty column layouts, from many clients
Runs on
The agency's own hardware
Scope
Intake normalization with a human approval queue

The situation

Where they started.

Every client sends placement files in its own layout. A person and a half spent their days turning those files into the one upload format the thirty-year-old collection system accepts. A failed system conversion the year before had made the agency rightly cautious: whatever came next could not touch the system of record.

What FlatClaw does

What was built.

  • The agent watches the drop locations, reads each incoming placement file, and maps its columns onto the house schema using rules the intake team helped write.
  • Anything it is unsure about is flagged, not guessed; the whole batch waits in an approval queue where a reviewer sees the mapping and the exceptions before release.
  • Output is exactly the upload file the collection system already accepts, so nothing about the system of record changes.
  • Runs entirely on hardware inside the agency's building.

Results

What changed.

  • Intake becomes a review step instead of a data-entry job.
  • New client layouts are handled by adding a mapping, not by retraining a person.
  • Zero changes to the legacy system that the business depends on.
  • Every release is auditable: who approved which batch, and what was flagged.

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