AI Invoice & Document Processing
Automated OCR extraction, financial field validation, and duplicate invoice detection
An AI-powered document processing workflow that extracts structured information from invoices, validates financial fields, detects duplicate submissions, and routes records through an approval process.
⚠️ The Operational Challenge
Finance and operations departments spent substantial manual effort keying data from incoming PDF invoices and scans into accounting systems, frequently encountering data entry errors and undetected duplicate vendor submissions.
🛠️ The Engineered Solution
Yugen architected a robust document ingestion pipeline utilizing optical character recognition (OCR) and structured AI extraction, paired with automated mathematical validations, duplicate detection, and human exception routing.
⚡ Core Capabilities Delivered
📈 Reported Results & Business Value
⚙️ Technical Architecture & Implementation
- >Hybrid OCR and vision LLM extraction parser extracting complex tabular line items
- >Validation rules engine cross-checking item totals, discounts, taxes, and grand totals
- >Cross-table duplicate indexing catching re-submissions across varying file formats
- >Structured output export pipelines syncing to ERP tables and management sheets
Looking to achieve similar results?
Connect directly with Yugen's leadership to map your bottlenecks, scope delivery milestones, and discuss our UK-contracted engineering model.