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Solution · Claims

Fraud Networks

November 14, 2026 · 2 min read
Docklands AI by Inaza: Fraud Networks

Docklands checks every document on its own. Fraud Networks adds a second look, across claims.

It links claims that share details on their documents and groups them, so a reviewer sees the connected cases together instead of one claim at a time. Reviewer decisions feed back in.

Networks doesn't reject anything. A person still makes the call.

Fraud Networks is live in Docklands now. Get in touch if you'd like to see it.

Why it helps

  • Reviewers see the connected cases in one place, so a pattern doesn't get missed because the claims landed in different queues weeks apart.
  • It catches what single-document checks can't: documents that each look fine but share details with other claims.
  • Every decision stays with a person. Networks flags and groups claims, and it never rejects anything.
  • It gets sharper over time, because reviewer decisions feed back in.

Where it fits

  • Repair or service invoices from different suppliers that all point back to the same details.
  • The same receipt or proof of payment turning up on more than one claim.
  • Health claims from different patients with clinic receipts that share the same provider details or payment account, each small enough to pass alone.
  • A run of small claims that are each too minor to question alone, but worth a look together.
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