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AI & ML — Case Study
Illustrative example — not a real client
AI Document Intelligence Pipeline
A Python + GPT-4 pipeline that turned manual document review into an automated workflow
70%
Review Time Reduced
500+
Docs/Day Capacity
6 Wks
Delivery Timeline
Industry
Operations / Back Office (Illustrative)
Services
AI Development & Integration • Custom Software Development
Technologies
Python • FastAPI • GPT-4 • OpenAI API • PostgreSQL • Docker
// The Challenge
An operations team was manually reading, classifying, and re-keying data from hundreds of incoming documents (invoices, forms, contracts) every week, creating a processing backlog and frequent data-entry errors.
// Our Solution
Built a Python-based ingestion pipeline using OCR pre-processing and GPT-4 for classification and structured field extraction, with a FastAPI backend that routes low-confidence documents to a human review queue instead of blindly automating everything.
// Key Features
OCR + AI Document Classification
Structured Field Extraction
Confidence-based Human Review Queue
REST API for Document Ingestion
// Results
Estimated 70% reduction in manual review time for standard document types
Pipeline capable of handling 500+ documents per day
Low-confidence documents automatically flagged for human review rather than blind automation
Project Duration
6 Weeks (Illustrative)
Engagement Model
Illustrative Example — Not a Verified Engagement
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