Shared bank accounts
Different vendors, claimants or applicants paid into the same IBAN.
Fraud ring detection from a single receipt.
Docklands AI is fraud ring detection built on documents. One receipt unlocks every claim, invoice and expense that shares its vendor, bank account, phone or device, so rings and collusion show up as a network instead of a pile of approved claims.
app.docklands.ai/networks/IBAN-4471
- Shared IBAN ••44713 garages
- Shared phone ••2182 garages
- Same capture device1 claim
From one receipt to the ring behind it.
Anchor on the payment
Proof of payment anchors each claim. Its vendor, bank account, phone and capture device become links.
Find what else shares them
Every other claim, invoice or expense with the same IBAN, phone, vendor or device is pulled in.
Map the ring
Linked documents are drawn as a network, with what links each pair and how many claims share it.
Size the exposure
The network shows the total linked exposure, so you can act on the ring, not one claim at a time.
What fraud ring detection looks for.
Details a receipt shares with other claims. Any one can be a coincidence; together they are a ring.
Shared phone numbers
The same contact number behind businesses that claim to be unrelated.
The same vendor
One garage, clinic or supplier appearing across many unconnected claims.
The same capture device
Documents for different people photographed on the same phone.
Why single-document checks miss rings.
- A ring is designed so every individual claim looks ordinary.
- The evidence is in what documents share: bank accounts, phones, vendors and devices.
- Docklands AI reads those details from the documents themselves and links them across every claim, invoice and expense.
- The result is a network with the evidence for each link, not a score with no explanation.
What the metadata says
- DeviceiPhone camera
- Created14/09/2026 18:02
- Edited withnone
- VerdictLooks clean
What the pixels say
- Generator fingerprint0.97
- Total re-written0.91
- Cloned digits2 regions
- VerdictHigh risk
See what Docklands AI finds in your own documents.
Your first 1,000 documents are checked free.
Collusion fraud detection
Collusion is fraud by agreement: people who are meant to be independent working together. It is hard to catch because each participant’s claims look normal on their own. It only shows when you look across them.
Take a company health plan where receipts under USD 75 are approved automatically. A group of employees works this out and all start submitting receipts just under the limit. No single claim breaks a rule. Docklands AI links the receipts across employees, so the cluster of just-under-threshold amounts, shared vendors and reused receipts surfaces as one pattern.
Or take motor claims where several auto repair shops look like separate businesses but are all paid into the same bank account. Each invoice passes its checks. Linked by the shared account, the shops show up as one ring, with every claim they touched.
What is a fraud ring?
A fraud ring is a group of people or businesses acting together to defraud an insurer, lender or employer, usually with many small claims rather than one large one. Rings use real-looking vendors, repeat the same documents across claimants and route money to a small number of accounts.
Because the documents themselves carry the links (bank details on an invoice, a phone number on a letterhead, the device a receipt was photographed on), document-level fraud ring detection can find rings that transaction data alone does not.
Fraud network analysis across claims, invoices and expenses
Rings rarely stay in one place. The same bank account can sit behind a garage on a motor claim, a supplier in accounts payable and a vendor on an expense receipt. Docklands AI links documents wherever they come from, so a ring spread across teams shows up as one network.
Each link in the network carries its evidence: which detail is shared and on which documents. The network also shows the total linked exposure, so investigators can see the size of the ring before they open a single claim.
FAQ
Fraud ring and collusion questions.
What is a fraud ring in insurance claims?
A fraud ring is a group of individuals working together to submit false claims. They typically share vendors, bank accounts, phone numbers or devices across multiple claims. Rings may include policyholders, repair shops, medical providers or other parties coordinating to inflate or fabricate payouts.
How do you detect organized fraud rings?
Detection systems extract identifiers like bank accounts, phone numbers, vendors and device fingerprints from documents, then link claims that share them. Shared details surface networks invisible when reviewing individual claims. Network analysis reveals total exposure and coordinated patterns across the ring.
How does Docklands AI detect fraud rings?
It reads the bank account, phone number, vendor and capture device from each document and links every claim, invoice or expense that shares them.
Can it detect collusion between employees?
Yes. Receipts are linked across employees, so patterns such as many claims just under an auto-approve limit show up together.
Can it link repair shops or vendors that share a bank account?
Yes. Vendors paid into the same bank account are linked, even when their names and addresses differ.
Do we need to send transaction data?
No. The links come from the documents you already send: invoices, receipts and supporting files.
Still have a question? Ask us on a call. Book a call
Send us the claim you think is connected.
We'll show you who else it's linked to, what links them and the exposure across the ring.