Claims teams review a steady stream of forms, invoices, statements, and supporting records. The challenge is not only finding a suspicious document; it is giving reviewers a consistent way to decide what deserves a closer look while keeping ordinary files moving through the process.
Mercury’s AI-powered document fraud detection helps carriers, MGAs, and TPAs score claims documents on a 1-to-100 scale. That score gives an operations team a practical signal for triage. Lower-risk items can continue through the normal review path, while documents with a higher signal can receive the additional attention, verification, or escalation that the organization’s controls require.
The value is in the handoff between detection and action. A score can sit alongside the document and the related claim so that adjusters and reviewers have context when they decide what to do next. Teams can use their own review policies to determine thresholds, supporting evidence, and approval steps without turning every claim into the same manual investigation.
Fraud detection is one part of a broader claims workflow. When the signal is presented in the same system that organizes claim information, teams can spend less time searching across disconnected files and more time applying the organization’s established review process. Mercury gives insurance operations a structured way to bring that signal into everyday claims work without making unsupported promises about an outcome.
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