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Transforming Document Workflows Through Intelligent Data Automation
Large organizations often handle thousands of documents every month — invoices, contracts, shipment records, and reports — requiring manual data entry, verification, and approval. This repetitive process was time-consuming, error-prone, and delayed downstream business operations. iiT developed and deployed an AI-powered Document Understanding and Data Extraction system that automatically reads, classifies, and extracts structured data from any document format — including PDFs, images, and scans. By integrating directly with ERP and SharePoint systems, the solution delivered fast, accurate, and compliant document processing, enabling organizations to move from manual entry to real-time automation and analytics.
Achieving Intelligent Data Processing Without Expanding Operations Teams
The iiT Document AI solution delivered enterprise-grade automation for document ingestion, extraction, and validation — reducing operational workload while improving accuracy. By leveraging LayoutLMv3 for document structure understanding, Tesseract OCR for text recognition, and GPT-4 Turbo for contextual reasoning, the system was capable of understanding both structured and unstructured content with high precision. Through n8n and Power Automate workflows, extracted data was automatically validated, enriched, and pushed into ERP systems such as SAP and Microsoft Dynamics, significantly shortening approval cycles and improving visibility across departments.
Features & Capabilities
The iiT Automated Document Understanding platform was engineered to deliver end-to-end document intelligence, from ingestion to analytics, across multiple business functions:
Delivering Measurable Business Impact
The deployment of the iiT Document Understanding System delivered clear operational and financial gains:
âś… 85% automation in document data extraction
âś… 98% accuracy across key business data fields
âś… 70% reduction in approval and processing time
âś… Seamless integration with ERP and BI systems for real-time insights
The solution transformed static documents into actionable data assets — improving speed, accuracy, and compliance while enabling advanced analytics across business processes.
iiT Chatbot Delivery Framework
iiT delivered the Automated Document Understanding solution through a structured and scalable delivery framework designed to ensure precision, interoperability, and continuous improvement.
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Foundation & Integration
The project began by connecting various document sources — email attachments, SharePoint libraries, and ERP uploads — into a unified ingestion pipeline. The architecture combined LayoutLMv3, Tesseract OCR, and GPT-4 Turbo for context-based reasoning, supported by Pinecone Vector DB for semantic indexing and RAG-based validation to ensure accuracy.
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Enhancement & Optimization
Following the initial rollout, iiT refined extraction templates and validation logic to increase model precision and reduce manual checks. Workflows built on n8n and Power Automate were optimized to handle exceptions, notify stakeholders, and streamline approval routing.
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Expansion & Innovation
After successful implementation, the platform was extended to cover contracts, shipment records, and supplier statements. Integration with BI tools such as Power BI provided automated dashboards for real-time visibility into processing metrics, compliance trends, and cycle times — turning document processing into a data-driven advantage.