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ENTERPRISE CASE STUDY

Intelligent Document Processing (IDP)

An Intelligent Document Processing engine combining advanced computer vision, OCR, and Large Language Models to extract key-value data, validate tables, and process corporate invoices, purchase orders, and legal agreements.

Domain

Intelligent Document Processing

Timeline

2024–2025

Architecture Role

Solution Architect

Deployment Status

Production-ready

The Enterprise Challenge

Financial teams were overwhelmed by non-standardized vendor invoices requiring manual line-item entry.

Architectural Solution

Architected an IDP pipeline that extracts, validates, and posts invoice data directly into financial ERP modules.

Architecture Narrative

Built to tackle heterogeneous document formats across finance and operations, the IDP Engine ingests invoices, receipts, contracts, and compliance forms. It performs optical character recognition, passes document layouts through contextual LLM extraction models, verifies calculations against purchase orders, and posts clean data to ERP systems.

System Impact

99%+ key-value extraction accuracy

Automated line-item matching with ERP purchase orders

Eliminated manual data entry for financial processing

System Signal Flow

Scanned PDF / ImageOCR & Vision AnalysisLLM Extraction & ValidationERP Financial Posting

Architecture & Security Model

Artificial Intelligence
Validation Portal UI
Core Platforms
PythonFastAPI
Cloud & Integration
Azure Document IntelligenceOpenAI GPT-4o
Database & Governance
PostgreSQLSQL Server

Visual Architecture Showcase

What sets this solution apart?

01

Robust handling of both English and Arabic complex invoice structures

02

Sub-second extraction speed per document page

03

Automated 3-way PO matching logic