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Data Automation
Intelligent Document Processing
Overview
Manual extraction of data from hundreds of documents monthly was error-prone, slow, and prevented scaling operations.
The Challenge
Manual extraction of data from hundreds of documents monthly was error-prone, slow, and prevented scaling operations.
Our Approach
Built a document processing pipeline using OCR and NLP to automatically extract, validate, and route structured data from various document types.
The Outcome
Reduced processing time from days to minutes, improved accuracy, and enabled the team to handle significantly higher document volumes.
What Was Delivered
- Document classification
- Data extraction pipeline
- Validation rules
- Integration with existing systems
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