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AI & AutomationVerified Production System

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.

Verified Impact & Reported Metrics
100%Field Validation CoverageRigorous execution of required-field and calculation checks prior to approval
AutomatedDuplicate DetectionChecks incoming invoices against historical records using configured rules
Zero-KeyData Ingestion PipelineAutomatic extraction into structured databases for clean approved documents

⚠️ 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

✓AI-powered extraction of invoice numbers, vendor details, line items, dates, and amounts
✓OCR processing engineered for scanned invoices, receipts, and image-based PDFs
✓Automated validation of required financial fields, tax formats, and total calculations
✓Configurable duplicate invoice detection comparing vendor IDs, invoice numbers, and amounts
✓Exception and human approval workflows for anomalous documents or validation failures
✓Automated storage of verified records in accounting databases and dynamic spreadsheets
✓Detailed audit logs and alert dispatches for failed extractions and validation errors

📈 Reported Results & Business Value

✓
Significantly reduced manual invoice data entry through automated extraction into structured records.
✓
100% coverage of configured required-field validation checks before records are submitted for payment approval.
✓
Automated duplicate detection flagging duplicate vendor invoices using configured checking rules.
✓
Streamlined exception workflow giving human controllers immediate visibility over discrepancies.
✓
Comprehensive extraction logs maintaining audit readiness for corporate financial records.

⚙️ 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

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