Detect Fraud Activities in Any Document

The system supports many formats such as PDFs, structured documents (e.g. invoices, pay slips), JSON datasets, and more. For image uploads, it flags them for manual review since certain metadata checks aren’t always possible.

Yes. You can create custom fraud detection rules tailored to your business logic and risk thresholds. These rules operate on top of built-in static and dynamic checks for deeper, flexible fraud detection.

In internal testing, our checks on valid documents achieve 98–99% accuracy relative to what can be reliably extracted, though actual accuracy depends on file quality and extractability.

Checks are generally completed in seconds for standard documents. For more complex sets (50+ pages or multiple files), parallel processing ensures timely results.

Static checks include metadata analysis (creation date, modification, producer name), layout/profile checks, and structure consistency. Dynamic checks include cross-validation with external databases (ABN, BSP, company registry), math logical consistency, and geographic/time anomalies.

Yes. It can be integrated via API or within your workflows. The product is designed to plug-in to existing systems, enabling document verification automation without requiring a full rework of your tech stack.

Uploads in image formats (e.g. JPEG, PNG) are flagged for manual review when certain checks aren’t possible (e.g. metadata or producer info). Whenever possible, we run image-based fraud detection and anomaly checks.

By automating verification, anomaly detection, and cross-database validation, the system pre-flags documents with risk scores and highlights discrepancies. This means your compliance or review teams only focus on flagged items.

Yes. Fraud Check AI supports continuous learning: over time, it adapts to new fraud patterns, refines rule weights, and updates models to reduce false positives and maintain high accuracy.

Yes. It can compare related documents or datasets, spotting inconsistencies across them (e.g. a pay slip vs bank statement) and flag inter-document mismatch or manipulation.

We connect to trusted government/business registries (e.g. ABN, BSP, company lookup) and verify authenticity of identifiers or claims. These cross-checks strengthen fraud detection and content verification.

Fraud Check AI helps meet KYC, AML, and document verification requirements by automating authenticity checks, preserving audit trails, and ensuring verified document integrity.

You receive a detailed report showing which checks failed or triggered flags, the fraud risk score, and sub-explanations to make decisions or escalate for manual review.

The solution is built for scale. It uses parallel processing, asynchronous checks, and optimised pipelines so it can handle bursts of high volume or batch processing needs.