How Inscribe makes document collection easy

In this demo, Inscribe’s CTO and co-founder walks through how Inscribe’s AI Agents analyze financial documents in real time. You’ll see how the platform reviews documents, surfaces fraud signals, and explains risk findings that would be difficult or time-consuming to catch with manual review.

Inscribe detects a wide range of document fraud, including forged bank statements, altered pay stubs, template-based fraud, and AI-generated or deepfake documents. The system is designed to catch both common fraud patterns and emerging tactics that legacy tools often miss.

Inscribe’s AI Agents analyze document structure, formatting, metadata, transaction data, and contextual inconsistencies. They also cross-reference information across documents and data sources to identify signals that indicate tampering, fabrication, or misrepresentation.

Traditional tools rely on static rules or single detectors. Inscribe uses agentic AI that can reason, adapt, and orchestrate multiple detection techniques in parallel. This allows Inscribe to detect complex and previously unseen fraud patterns — not just known ones.

Inscribe analyzes documents in seconds. This enables real-time fraud detection during onboarding and underwriting workflows, helping teams stop fraud without slowing down legitimate customers or approvals.

This demo is designed for banks, lenders, credit unions, and fintechs — especially fraud, risk, and underwriting teams responsible for reviewing customer-submitted financial documents.

No. Inscribe is designed to work alongside human analysts. It automates repetitive document review and surfaces clear risk signals so analysts can focus on complex cases and make faster, more confident decisions.

Yes. Because Inscribe’s AI Agents are adaptive, they can detect fraud patterns that don’t match historical templates or training data. This includes early instances of new AI-generated document fraud.

Credit unions use Inscribe’s agentic document fraud detection to identify AI-generated and forged documents during onboarding and underwriting. Inscribe’s AI Agents analyze financial documents in real time, uncovering inconsistencies that indicate deepfake or manipulated content — even when documents appear visually legitimate.

Inscribe detects AI-generated and altered documents such as fake bank statements, pay stubs, utility bills, and other financial records. The platform is designed to catch both common fraud patterns and emerging deepfake tactics used to target credit unions.

In this demo, Inscribe’s CTO and co-founder shows how credit unions use Inscribe to review member-submitted documents, surface fraud and risk signals, and understand why a document is flagged. You’ll see how AI Agents explain their findings to support faster, more confident decisions.

Traditional fraud tools rely on static rules or single-purpose detectors. Inscribe uses agentic AI that can reason across documents, adapt to new fraud tactics, and orchestrate multiple detection techniques at once — enabling credit unions to detect deepfake fraud that legacy systems often miss.

Inscribe analyzes documents in seconds, allowing credit unions to detect fraud in real time without slowing down member onboarding or loan approvals. This helps reduce friction while protecting against fraud losses.

No. Inscribe is designed to support human teams, not replace them. By automating repetitive document review and surfacing clear risk signals, Inscribe enables fraud and underwriting teams to focus on complex cases and member experience.

By detecting deepfake and forged documents early, Inscribe helps credit unions prevent fraud losses, reduce account and loan abuse, and protect members from downstream financial harm — all while maintaining fast, member-friendly decisioning.

The Inscribe self-guided tour is an interactive walkthrough that lets you explore how Inscribe’s AI Agents review financial documents, surface fraud signals, and explain risk — all without needing to schedule a live demo.

You’ll see how Inscribe analyzes documents like bank statements and pay stubs, flags potential document fraud, and highlights risk insights that would otherwise require manual review. The tour shows how AI Agents automate document analysis while keeping humans in control of final decisions.

The self-guided tour lets you explore Inscribe at your own pace, on your own time. Unlike a live demo, there’s no presentation or sales call — you can click through real workflows and understand how the platform works before deciding whether to go deeper.

This tour is designed for fraud, risk, and underwriting teams at banks, credit unions, and fintechs who want to understand how AI can reduce manual document review and improve fraud detection without increasing operational complexity.

The tour highlights how Inscribe detects common and emerging document fraud, including forged bank statements, altered pay stubs, template-based fraud, and AI-generated or deepfake documents.

No. The tour uses sample data to demonstrate Inscribe’s capabilities while maintaining security and privacy. No sensitive or customer information is exposed during the experience.

No. The tour is designed to be intuitive and easy to follow, even if you don’t have a technical background. It’s built to reflect how fraud and underwriting teams use Inscribe in real workflows.

After the tour, you can request a personalized demo, talk with an Inscribe expert, or explore how Inscribe fits into your existing onboarding and underwriting workflows.