Detect fraudulent bank statements in 72 seconds

Inscribe applies four layers of analysis simultaneously. Pixel-level forensic detection catches tampering and image manipulation — edits that are invisible to the human eye. Metadata inspection surfaces suspicious document origins, such as statements created or modified using consumer-grade editing software. Behavioral pattern matching identifies fabricated or templated transaction data by comparing patterns against what real statements from the same institution look like. And cross-document consistency checks validate the bank statement against other documents in the application — pay stubs, tax forms, proof of address — to catch inconsistencies across the file set. Most fraud is caught at the intersection of two or more of these layers, not just one.

Yes. AI-generated document fraud increased 208% between April and December 2025, and it's now one of the fastest-growing fraud vectors in lending. Generative AI can replicate formatting, logos, transaction patterns, and metadata convincingly enough to fool manual reviewers and most legacy tools. Inscribe's AI agents are specifically trained to detect the structural artifacts and inconsistencies that AI-generated documents leave behind — even when the document looks completely legitimate on the surface.

It means that even your most experienced underwriters are working with a significant blind spot. Fraudsters have learned to create and alter documents at a level of precision that humans simply can't detect through visual inspection alone. Altered balances, fabricated transaction histories, and AI-generated statements can pass a manual review entirely undetected. Inscribe operates below the surface — at the pixel, metadata, and pattern level — where the evidence of fraud actually lives.

Inscribe connects via API or a web app and is designed to work alongside your existing loan origination system — not replace it. There's no ripping and replacing your stack. Most teams are reviewing documents with Inscribe significantly faster than they would be with legacy fraud vendors that require lengthy implementations. You can also submit documents directly through Inscribe's portal during evaluation, which means your team can start seeing results before any technical integration is complete.

Inscribe analyzes a wide range of financial and business documents including pay stubs, tax forms (W-2s, 1099s), invoices, balance sheets, profit and loss statements, and more. Critically, Inscribe's AI agents don't just validate each document in isolation — they cross-reference documents against each other to surface inconsistencies across an entire application. An income figure that doesn't match across a bank statement and a pay stub, for example, is a signal the AI catches that a document-by-document review would miss.

Inscribe is built for fast deployment. Most teams can begin reviewing documents through the web app immediately, and API integration is designed to move significantly faster than legacy fraud system implementations. During your demo, Inscribe's team can walk you through exactly what the integration path looks like for your specific lending workflow.

Yes. Inscribe is SOC 2 Type II and ISO 27001 certified and has been purpose-built for the compliance and regulatory standards that banks, credit unions, and lenders operate under. Every decision Inscribe surfaces comes with a plain-language explanation that your analysts, auditors, and examiners can review, document, and stand behind — which matters as much as the detection itself in a regulated environment.

Results vary by institution size and document volume, but published outcomes include $3M+ in potential fraud losses prevented by Logix Federal Credit Union in eight months, $5.6M in confirmed altered-document losses prevented by BCU in nine months, and $850K saved with review time cut by 99% at Kinecta FCU. The consistency across customers is speed — manual review times that previously ran 30 minutes or more are often reduced to under 90 seconds.

No — and it's not designed to. Inscribe automates the repetitive, time-consuming parts of document review so your analysts can focus on complex cases that genuinely require human judgment. Your team still makes the final call. What changes is that they're working from clear, AI-generated findings rather than staring at documents and hoping to spot something — which means they catch more fraud, faster, with less fatigue.