Catch claims overpayments and cost leakage automatically with AI

AI continuously reviews claims data to flag overpayments and pricing errors, alerting your team fast.

How the work actually flows

It branches. Exactly one path is taken; runs once per each claim reviewed.

Pattern: Exclusive Choice (4) · Multiple Instances without Synchronization (12)

flowchart TD trig[\"claims data available for review"\]:::trigdata s0[["score each claim for risk"]]:::mi s1["ai flags overpayments and errors"]:::task trig --> s0 s0 --> s1 gx{"× is risk high or low"}:::gate s1 --> gx p00["send email and slack alerts"]:::task gx -->|"high risk claims"| p00 p10["add to periodic audit report"]:::task gx -->|"low risk claims"| p10 p00 --> out p10 --> out out[/"flagged claims with risk scores"/]:::out pay{{"catches leakage before money is lost"}}:::pay out --> pay 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 stepRuns once per itemOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & Notifications
Connects
OpenAISlackGmail
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The problem it solves

Overpayments and pricing mistakes hide inside claims data, and manually auditing every claim for errors just isn't realistic at any real volume. By the time issues get caught in a review, the money may already be gone.

Who it fits

Claims operations, finance, or audit teams who need ongoing oversight without manual line-by-line review.

How it works

  1. Claims history, policy details, and pricing rules are pulled together automatically
  2. Each claim is scored for leakage risk against historical patterns
  3. AI reviews the combined data to flag overpayments and inconsistencies
  4. High-risk findings trigger immediate email and Slack alerts
  5. Lower-risk issues are compiled into a periodic audit report
What you get

Overpayments you catch before they slip through

Claims data gets reviewed continuously for overpayments and pricing errors, with your team alerted fast whenever something looks off.

What you get

Flagged claims with leakage risk scores, plus alerts and recovery reports for your team.

What you need

An OpenAI API key, a Slack workspace, a Gmail account, and access to your claims and policy data sources.

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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