Enterprise AI Document Processing Engine

Autonomous multi-modal document extraction and semantic auditing platform.

Client / OrganizationFinova Global Corp

Development Duration3 Months

Primary Metric99.4% Extraction Accuracy

Delivery StandardEnterprise Ready

Executive Overview

Built for a global financial institution handling over 2M monthly invoices. The system automatically ingests unstructured PDFs, performs multi-modal OCR, extracts line-item entities with 99.4% accuracy, and indexes data into Pinecone vector store for natural language auditing queries.

Measurable Impact & Metrics

99.4% Extraction Accuracy

85% Reduction in Manual Audit Time

$1.2M Annual Cost Savings

Key Architectural Features

Multi-format ingestion (PDF, Scanned TIFF, Word)

Real-time line item entity extraction

Natural language querying via RAG

Automated ERP reconciliation hooks

Enterprise role-based access control

Technology Stack

PythonFastAPIGemini APINext.jsPinecone Vector DBDocker

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