1 in 16 documents show signs of manipulation or fabrication. Inscribe combines the industry's largest financial document network with agentic AI to catch fraud before it reaches a decision.
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Inscribe is purpose-built to detect document fraud in financial services. Our agentic AI understands documents the way an experienced fraud analyst would — reasoning about context, adapting to new fraud tactics, and explaining every finding so your team can reduce fraud losses while approving legitimate applicants faster.

No single detection method catches every type of document fraud. Inscribe combines forensic, network, semantic, perceptual, public data, and custom signals to analyze documents from multiple angles. Together, these methods uncover inconsistencies a single approach would miss.
Fraudsters often reuse the same playbook. Network detection taps into our vast library of genuine and fraudulent documents to spot recycled templates, suspicious layouts, and repeat patterns, ensuring fraud that’s worked before won’t work again.
Looks can deceive, but the details rarely lie. Semantic detection cross-checks names, addresses, employment, and income to expose contradictions that don’t add up, helping you separate trustworthy applications from risky ones.
Every document carries a digital fingerprint. Forensic detection analyzes structure, fonts, metadata, and file history to uncover tampering and synthetic files that manual review often misses, giving you confidence in every approval.
Some fraud hides in the smallest details. Perceptual detection examines documents at the pixel level to reveal edits, AI-generated artifacts, and subtle visual inconsistencies, so even the most convincing fakes don’t slip through.

Inscribe surfaces what analysts need without making them dig for it. Every finding includes a risk level, a clear explanation, and supporting evidence, so reviewers can understand what happened and make confident decisions in seconds.

From parsing and classification to document collection, Inscribe handles the tedious, manual document review work. Your team gets more time for complex investigations and less fatigue from repetitive tasks.

With every review, Inscribe’s agentic AI learns from your analysts and our in-house risk analysts. The result? Sharper detection, fewer false positives, and a system that continuously adapts to new fraud tactics.
Most document fraud tools analyze documents in isolation. Inscribe reasons across every document in an application, connecting fraud signals, customer information, and external data the way an experienced analyst would.

Go beyond the document by automatically verifying employers, validating addresses, and uncovering related entities. Inscribe eliminates manual research so your team can investigate applications faster and with greater confidence.

Strengthen business verification by confirming incorporation status through Secretary of State records, validating web presence, and surfacing adverse media — all without leaving your workflow.

Bring document findings, applicant details, and external signals together in a single connected view of risk. Inscribe helps reviewers understand the full context behind every application before making a decision.
Every document passes through multiple layers of analysis. Inscribe combines LLMs, specialized fraud detectors, external data, and agentic reasoning to uncover fraud, validate claims, and explain every finding.
The moment a document enters your workflow (via the Collect portal, web app, or API), Inscribe pre-screens it for format validity, completeness, and type accuracy, so bad files are filtered out before they slow you down.
Inscribe enriches investigations with live research, verifying employers, cross-checking addresses, and connecting external sources to document claims, giving you confidence in every detail.
LLMs extract key fields and check formatting and logic, while advanced detectors uncover hidden fraud vectors. Inscribe also surfaces risks related to transaction or balance details based on rules you configure.
LLMs extract key fields and check formatting and logic, while advanced detectors uncover hidden fraud vectors. Inscribe also surfaces risks related to transaction or balance details based on rules you configure.
Inscribe enriches investigations with live research, verifying employers, cross-checking addresses, and connecting external sources to document claims, giving you confidence in every detail.
Every finding is translated into a plain-language risk summary with linked evidence and contextual scoring, enabling faster, more confident, and more defensible decisions.
Logix’s investigators struggled to keep up with rising document fraud, as manual verification methods proved too slow and unreliable against increasingly sophisticated fakes.
Inscribe automates document verification by flagging fraud, validating details, and removing the need for investigators to manually cross-check statements, balances, and employers.

A comprehensive look at where document fraud stands today — including why 1 in 16 documents show signs of fraud — how AI is changing the game for both sides, and what the most effective fraud teams are doing differently.
How AI, frontier strategies, and collaboration are shaping the fight against deepfakes
Book a demo and we'll share more about our complimentary document fraud audit.
Inscribe’s AI Agents are agentic AI systems built specifically to detect document fraud and assess risk. They act as intelligent sidekicks for fraud and risk teams, automating manual document review while reasoning through complex cases the way an experienced analyst would.
Inscribe uses layered detection techniques — including forensic, semantic, perceptual, and network analysis — to identify forged, manipulated, and AI-generated documents. These methods uncover subtle inconsistencies and digital fingerprints that traditional rules-based systems and manual reviews often miss.
Traditional fraud tools run static rules or single-purpose detectors. Inscribe’s agentic AI can reason across documents, adapt to new fraud tactics, and orchestrate multiple detection techniques in parallel. This allows teams to detect rare, emerging, and previously unseen fraud patterns.
Inscribe detects document forgery, AI-generated and deepfake documents, manipulated bank statements, fake pay stubs, synthetic income, false employment claims, and coordinated fraud patterns that bypass legacy systems.
By automating document parsing, classification, verification, and research tasks, Inscribe can reduce manual document review by up to 90%. This frees analysts from repetitive work and allows them to focus on complex investigations that require human judgment.
Yes. Inscribe generates plain-language, audit-ready explanations with linked evidence. This gives fraud, risk, and compliance teams clear, defensible reasoning behind every decision — without digging through raw data.
Inscribe’s AI Agents go beyond individual documents by validating applicant details, verifying businesses, running KYB checks, and linking related entities. This creates a complete, connected view of risk across documents, applications, and external data sources.
Banks, lenders, credit unions, fintechs, and other organizations that rely on customer-submitted documents use Inscribe to fight fraud, improve compliance, and accelerate onboarding and underwriting decisions.
Inscribe is designed for rapid deployment and integrates into existing workflows via API, web app, or document collection portals. Most teams can go live significantly faster than with legacy fraud systems that take months to implement.