Automate medical claims review, submission, and denial follow-up

AI reviews billing claims for errors, submits them, and follows up on denials automatically.

How the work actually flows

It branches. Exactly one path is taken; runs once per each billing claim; a person is alerted when a step fails.

Pattern: Multiple Instances with a priori Design-Time Knowledge (13) · Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig(["scheduled claims batch run"]):::trigtime s0[["check claims for coding errors"]]:::mi s1["follow up on denials"]:::task s2["merge into status report"]:::task s3["email high risk escalations"]:::svc trig --> s0 s1 --> s2 s2 --> s3 gx{"× is claim valid"}:::gate s0 --> gx p00["submit to payer"]:::task gx -->|"valid claim"| p00 p10["flag coding error"]:::task gx -->|"invalid claim"| p10 jn{"○ claims processed"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"claim status report with escalations"/]:::out pay{{"faster reimbursement fewer stuck claims"}}:::pay s3 --> out out --> pay esc(("Alerts a person")):::human s2 -. "if it fails" .-> esc esc -.-> out classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA personOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail Automation
Connects
OpenAIGmail
Featured in

The problem it solves

Your billing team spends hours checking claims for coding errors, submitting them to payers, and chasing down denials one by one. Mistakes slip through, follow-ups get delayed, and revenue sits stuck in the pipeline.

Who it fits

Hospital billing departments and healthcare revenue cycle teams handling high claim volumes.

How it works

  1. A schedule loads new billing data for processing
  2. One AI agent checks each claim for coding errors
  3. Another agent submits valid claims and a third watches for denials
  4. A fourth agent follows up with payers on denied or delayed claims
  5. Results are merged into a report showing claim status and risk level
What you get

Claims reviewed and tracked through resolution

Your billing claims get checked for errors, submitted, and followed up on with payers automatically, with a status report for each one.

What you get

A status report on every claim, plus emails escalating high-risk cases to your revenue team.

What you need

An OpenAI API key and an email account for escalation notifications.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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