Catch fake paystubs, altered bank statements, and fraudulent financial documents before they reach your underwriting team. Uptiq's AI analyzes every document for fraud signals — automatically, at intake.
Trusted by financial institutions across banking, lending & credit
The Problem
Paystub generators, PDF editors, and document fabrication tools are freely available. Fraudulent documents now look nearly identical to legitimate ones.
Fake paystubs are one of the most common forms of application fraud in consumer and small business lending. They're created using widely available tools that produce documents indistinguishable to the human eye — but riddled with patterns that AI can detect: mathematical inconsistencies in pay calculations, font irregularities, metadata mismatches, and formatting anomalies that don't match legitimate payroll software outputs.
Manual review can't scale alongside volume. Even an experienced analyst reviewing hundreds of documents per week will miss patterns that AI catches systematically — and the cost of a single fraudulent loan that reaches funding far exceeds the cost of automated detection.
Document fraud often isn't discovered until default. By then, the loss is realized — and the compliance documentation trail shows the warning signs that were missed at intake.
The Solution
Uptiq analyzes every submitted document for fraud signals — not just flagged applications. Patterns that pass human review are surfaced automatically, with full documentation for escalation and compliance reporting.
Unlike generic fraud tools that trigger on surface patterns, Uptiq's domain-trained agents understand what legitimate financial documents look like from institutions across the country — which means fewer false positives and more accurate detection of genuine fraud signals.
Every fraud flag is documented with supporting evidence — which signal was detected, where in the document, and why it indicates elevated risk. Your compliance and SAR reporting process has a complete, auditable record.
Key Benefits
AI analyzes paystub formatting, pay calculation math, and metadata — detecting documents created with generators or altered post-issuance before they reach underwriting.
Every flag is documented with specific evidence — what signal was detected, where, and why it indicates elevated risk. Complete audit trail for compliance and SAR reporting.
Fraud analysis runs on every submitted document — not just suspicious ones. Systematic detection at scale, without proportional analyst review burden.
Cross-checks data consistency across documents in the same application — income on paystubs vs. bank deposits vs. tax returns — identifying contradictions that indicate fraud.
Integrates with your existing LOS, KYC, and underwriting workflow through 100+ native connectors. No rip-and-replace. Fraud flags surface where your team already works.
Identifies document patterns consistent with identity theft and account takeover scenarios — flagging for enhanced verification before the application advances.
Capabilities
Examines document creation metadata, modification history, digital signatures, and software fingerprints — detecting documents edited after original creation.
Validates internal calculations on paystubs and financial documents — gross pay, net pay, deduction math, tax calculations — flagging arithmetic inconsistencies that indicate fabrication.
Compares document formatting against known-legitimate templates from thousands of real issuers — detecting font inconsistencies, layout anomalies, and template mismatches.
Validates data consistency across all documents in the same application — catching contradictions between paystubs, bank statements, and tax returns that indicate manipulation.
Sample Fraud Analysis Flags
Illustrative output structure. Actual flags are evidence-documented and configurable.
Proven at Scale
Results represent aggregate outcomes across production deployments. Individual results may vary.
How It Works
Loan applications and supporting documents arrive via your existing submission channel. Uptiq ingests every document — no special submission process required for borrowers or your team.
Multi-layer analysis runs simultaneously — metadata inspection, mathematical validation, formatting pattern matching, and cross-document consistency checks — on every document in the application.
Each document receives a fraud risk score with specific evidence for every flag raised. The documentation is complete and structured for compliance review, escalation, and SAR reporting if required.
Fraud flags and documentation land in your LOS or underwriting platform before the file reaches a human reviewer. High-risk files are escalated automatically. Clean files proceed normally.
Common Questions
Book a 30-minute session. Bring a sample application — we'll run fraud detection live and show you what your team would see.
150+ financial institutions run Uptiq's AI at document intake — detecting fraud that manual review misses.
Join ever-growing community of 500+ Financial Institutions who have harnessed the power of Uptiq Insights.
