PaySentry Launches AI-Powered Document Fraud Detection

We’re excited to announce the launch of our comprehensive document fraud detection system, bringing enterprise-grade forensic analysis to the umbrella company compliance space.

The Four Pillars

Our system analyses documents through four complementary detection methods:

1. Metadata Analysis: Examines document creation dates, software signatures, and modification history to detect tampering or fabrication.
2. Font Forensics: Identifies inconsistent fonts, sizes, and rendering that may indicate text has been altered or inserted.
3. Pixel-Level ELA: Error Level Analysis detects areas of an image that have been modified by examining compression artefacts at the pixel level.
4. AI Narrative Review: Our Mistral 7B-powered analysis reviews document content for logical inconsistencies, unusual patterns, and compliance red flags.

Why It Matters

Document fraud costs the UK economy billions annually. For umbrella companies, fraudulent payslips, contracts, and identity documents represent significant compliance and financial risk. Our system provides an automated first line of defence.