Solutions / Document Fraud Verification

Document Fraud Detection

Document Fraud Detection Before the Money Moves

A clean transaction built on forged paperwork passes every monitoring system you own. Document Fraud Verification inspects the documents themselves, before funding, so fraud is caught at intake instead of investigated after the loss.

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The verification workflow

Loan filesAttachmentsInspectIntegrity + signaturesCross-checkNames, amounts, datesRisk reviewFlagged files onlyVerifiedAudit trail

Trusted where the stakes are high

ExxonmobilJohn CockerillThe HartfordDavis PolkCleary GottliebWhite And CaseUs Department Of StateCalifornia DmvMissouri Department Of RevenueMolina HealthcareEl Dorado Community Health CentersMemorial Sloan KetteringFarmers And Merchants BankCapitaHaidar Capital ManagementKapsarcOman LngSaudi Water AuthorityUmass Chan Medical SchoolOu College Of Medicine

How It Works

From intake to verified

01

Read the file

OCR and handwriting recognition extract every field from statements, contracts, and shipping papers.

02

Verify and cross-check

Signatures compared, integrity checked, duplicates caught, and fields cross-checked across the set.

03

Route by risk

Suspicious files go to fraud review with the evidence attached; clear files update your loan or claims system.

What You Get

What forged paperwork runs into

The check transaction monitoring cannot run

This inspects the paperwork itself, complementing the systems that watch the money move.

Document-levelComplementary

Signatures checked across the whole file

Signature detection compares across the document set and flags inconsistency.

Signature detectionCross-document

Recycled documents surface instantly

Exact and near-duplicate detection catches resubmitted and reused paperwork across applications.

Near-duplicateCross-application

Tampering leaves a trace, and we read it

Integrity assessment flags altered files before anyone relies on them.

Integrity checksTamper flags

Inconsistencies scored, not skimmed

Agentic cross-checks compare names, amounts, dates, and terms across the file, with confidence scores attached.

Agentic cross-checksConfidence scoring

Decisions with the evidence attached

Risk-based routing delivers flagged files to the right reviewer, and a full audit trail records every verification.

Risk routingAudit trailIn your environment

Who It's For

Built for the desks that approve the money

Banks underwriting loans and mortgages, trade finance teams reviewing letters of credit and shipping papers, insurers adjudicating claims, leasing companies checking applications, and title companies verifying records use document fraud detection on the paperwork itself. It complements transaction monitoring: those systems watch the money move; this one asks whether the documents behind the movement are genuine, before the decision, not after the loss.

FAQ

Document fraud detection, asked and answered

What is document fraud detection?
AI inspection of the paperwork behind financial decisions, loans, mortgages, letters of credit, claims, for tampering, forgery, and inconsistency, so fraud is caught at intake instead of discovered after funding.

How is this different from transaction monitoring?
Transaction monitoring watches the money move. Document fraud detection inspects the documents themselves, and the two complement each other: a clean transaction built on forged paperwork is exactly what this catches.

What signs of fraud does it flag?
Signature inconsistency across the document set, resubmitted or recycled paperwork caught by exact and near-duplicate detection across applications, and altered files flagged by integrity assessment.

Can it tell when a story does not add up?
Yes. Agentic cross-checks compare names, amounts, dates, and terms across the whole file and score their confidence, surfacing the application whose numbers disagree with its own attachments.

What happens to a flagged document?
Risk-based routing sends it to the right reviewer with the evidence attached, and a full audit trail records every verification, in your environment, under your controls.

Test it on closed cases

Send files from resolved fraud cases. We will show you what the AI would have flagged, and when.

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