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Case StudyHealthcare

Automated RCM - End-to-End Revenue Cycle Management

An end-to-end automated revenue cycle, built by Ajaia and delivered white-label under the client's brand.

100%
automated documentation to payment
95%
of claims coded and submitted consistently
24 hrs
payment status visibility on every claim
Client
A healthcare technology company
Industry
Healthcare - Revenue Cycle
Duration
Product build
AJAIA Services
Full-stack build - White-label
Tech Stack
CPT coding - HIPAA-aligned PHI handling

The Opportunity

A healthcare technology company whose claims operation ran on manual work at every step. Clinical documentation arrived in shapes no coder could work from directly, so someone had to clean it up. A second person then read the cleaned note and assigned the CPT codes. The claim was then submitted to the insurance company. And once the claim was out, knowing whether it had been paid, denied, or simply stalled meant checking and chasing by hand. Each step added a queue and each queue added days, so the whole operation could absorb growth only by adding people.

The routine path of a claim (documentation cleanup, coding, submission, and payment tracking) follows definable rules at every step and can run without a person. Documentation cleanup follows definable rules, coding is the application of published code sets to a clinical record, submission is a transaction, and payment tracking is a status check that should never depend on someone remembering to look. What the client needed was those four steps built as one pipeline, reliable enough to carry real claims volume, and HIPAA-aligned in how it handles PHI. The client wanted the opposite of adding headcount: a revenue cycle that ran as a product under its own brand.

Key Challenges

Documentation prep

Notes arrived in shapes no one could code from, so staff cleaned each one by hand before work could start.

Manual coding

Staff assigned CPT codes encounter by encounter, at the pace a person can read a chart.

Batch submission

Claims went to payers in hand-worked batches, sitting ready but unsent until someone ran them.

Blind AR

Once a claim went out, knowing whether it paid, denied, or stalled meant logging into payer portals and chasing by hand.

The Process

01
Discovery & Scoping

Walked the client's claims workflow step by step and marked every manual handoff and queue in it.

02
Pipeline Design

Designed one flow: clean the documentation, code it, submit the claim, track the payment. Four stages connected into a single automated pipeline.

03
Build & Brand

Built the pipeline end to end and delivered it white-labeled under the client's own brand, with nothing in the product pointing back to a vendor.

04
Validate & Deploy

Ran the pipeline against real claims, tuned each stage, and moved it into production carrying live claims volume.

Our Solution

One automated pipeline under the client's brand: documentation in, coded and submitted claims out, payments tracked. AI cleans and structures the clinical documentation so every downstream step works from a codable record. The system assigns CPT codes from the cleaned documentation, applying the same logic to every claim. Each coded claim is submitted to the insurance company and followed through to payment, flagging what needs attention. The entire pipeline runs under the client's own brand and presentation.

Key Capabilities

Documentation Cleanup
AI cleans and structures the clinical documentation so every downstream step works from a codable record.
AI CPT Coding
Assigns CPT codes from the cleaned documentation, applying the same logic to every claim.
Submit & Track Payment
Submits each coded claim to the insurance company and follows it through to payment, flagging what needs attention.

Impact

A routine claim now travels from documentation to payment without passing through staff: records are cleaned on arrival, coded without waiting, submitted without a batch run, and tracked without anyone opening a payer portal to check. Every claim moves through the same pipeline in the same way, which means exceptions surface early and follow-up effort concentrates on the claims that need it. The outcome is also a business asset: an automated revenue cycle the client offers under its own brand, that carries growing claims volume without requiring proportional headcount increases.

Key Results

  • 100% automated documentation to payment pipeline
  • 95% of claims coded and submitted consistently
  • 24-hour payment status visibility on every claim
  • Exceptions surface early, concentrating follow-up effort on claims that need it
  • Revenue cycle delivered as a white-label product under the client's own brand
Services Delivered
Full-stack build White-label
Technology
CPT coding HIPAA-aligned PHI handling
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