Healthcare
Ledger
AI claim scrubbing that catches denials before submission.
Scoped in 1 day · delivered in 7 · 28 days of production support · 7 seats / release
What it does
Ledger reviews CMS-1500 and UB-04 claims before they leave the building, flagging the coding, eligibility, and field errors that turn into denials a week later. It reads each claim, runs it against a growing rule set, and hands billers a prioritized list of fixes instead of a vague rejection.
Each claim passes through structural checks, then a model pass that catches the softer issues rule engines miss, like a modifier that does not fit the diagnosis. Clean claims move straight to your clearinghouse; flagged ones wait with a plain-language note on what to fix and why.
Practices typically see first-pass acceptance improve and denial rework drop once the rule set is tuned to their payer mix. Gains depend on your specialty and existing error rate, and Ledger reports which rules are actually saving claims so the set keeps earning its place.
How it embeds
The flow, end to end.
Claim intake
CMS-1500 and UB-04 claims read before submission
Structural checks
fields and required values validated
Model review
coding and modifier issues surfaced
Triage
clean claims pass, flagged ones get a fix note
Submit
accepted claims routed to your clearinghouse
Sample connectors
Configure
Priced on what it costs to run.
Move the slider to your real volume. You see the estimated infrastructure cost itemized, our flat fee on top, and the one-time setup — no markup hidden in a per-seat license.
Configure your volume
Infrastructure (estimated)
$3,400 one-time setup — configuration, testing, documentation & go-live support.
Comparable vendor: $700/mo · 62% less than market rate.
7 seats per release · cancel anytime · no lock-in
Ask the specialist
Anything about this automation.
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Schedule a demo
See it running in your environment.
30 minutes. We walk a live configuration against your actual systems. You leave with a scoped plan and a fixed quote.