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02 / AI / Data
Intelligent Document Processing Engine
Operations staff were opening invoices, forms and scanned records one at a time to locate a small number of fields. We built a processing pipeline that classifies documents, extracts structured data and routes exceptions for review.
78%reduction in manual handling time
94.7%first‑pass extraction accuracy
11,400documents processed in a typical month
What we built
A system designed around the actual work.
- Document classification
- OCR for scans and photographed files
- Schema‑based field extraction
- Confidence scoring
- Exception review queue
- Duplicate detection
- Structured export via API
How it works
From input to action through one connected flow.
01
INGEST
Receive files from email, upload and cloud storage
02
READ
OCR and classify each document
03
EXTRACT
Convert required fields into structured records
04
REVIEW
Route low‑confidence cases to a human queue
Delivery scopeSolution architecture, workflow design, AI integration, application engineering and production implementation.
TechnologyOCR · Python · LLM extraction · PostgreSQL · REST API
Measured outcome
Operational work became visible, measurable and easier to scale.
The team stopped treating every document as a manual task. High‑confidence records moved straight through the pipeline while uncertain cases were isolated for review.