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Payouts watched for fraud
a finding says who and why

Orla looks for the traces fraud leaves in your payouts. The autopilot pays nobody with an open finding until a person decides.

Papers and payees

Your crypto payouts, watched for the patterns fraud leaves between the people you pay.

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  • Contacts
  • Invoices
  • Proposals
  • Pay links
  • Documents
  • Anti-fraud

Watched4

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CounterpartyRoleWalletsStanding
Rafael O.Contractor1 · BaseAttention
Priya NairEmployee1 · TRONClear
Halcyon LabsClient2 · EthereumClear
Lena BrandtContractor1 · SolanaNot covered

Every watched counterparty with its standing. The open row says which pattern fired and what it holds, and the decision is made in the Inbox.

How it works

Anti-fraud monitoring
in four lines

Included or an add-on
Included in Enterprise, and a $49 a month add-on on other plans. Once it is on, your wallets and every contact with a TRON or Ethereum address are watched every hour.
Nine patterns, no black box
Kickbacks, ghost employees, split payments, brand-new wallets and links to known scams are among nine checks. Every finding says which pattern matched and why.
A finding holds the payout
The autopilot does not pay that counterparty, and a critical finding reaches owners, admins and the accountant at once. Marked normal, the pattern stays quiet for six months.
Evidence you can hand on
Each finding opens as a PDF case with every address and transfer written out. A share link stays open for thirty days, and you can take it back sooner.

Questions

Anti-fraud monitoring
the short answers

Does a finding mean someone is a fraud?

No. It is a matched pattern, not a verdict on a person, and the case report says so. You decide what it means.

How is this different from AML screening?

AML screening judges one wallet or one name against lists. Anti-fraud reads the payments between the people you pay, and asking whether it is safe to pay someone brings both: open findings and the last screening on file.

See your own cabinet
on a thirty minute call

We open it on your books and show what the machine would do by itself in your first week.