Intelligent Document Processing: AI-Powered Document Automation
AI-powered document processing solution that reduced processing time by 60%.
GlobeFinance Ltd.
Banking & Finance
Reduction in Processing Time
Document Classification Automation
Reduction in Manual Data Entry
Document Extraction Accuracy
Client Overview
GlobeFinance Ltd. is one of India's leading financial services companies, providing a comprehensive range of insurance, lending, and investment products to over 5 million customers nationwide. Founded in 1998, the company has grown to 150+ branches across 35 cities and processes more than 25,000 financial documents daily.
With a business model heavily dependent on document-intensive processes—including insurance claims, loan applications, KYC verifications, and policy documentation—GlobeFinance was struggling with the operational inefficiencies of manual document handling. As customer expectations for faster service grew and competition from digital-first fintech companies intensified, the company needed to transform its document processing capabilities to maintain market leadership and improve operational efficiency.
Project Summary
Industry
Financial Services
Project Duration
9 months
Team Size
14 specialists
Technologies
AI/ML, OCR, Computer Vision, RPA, Azure, Python
The Challenge
GlobeFinance faced several critical challenges in their document-intensive business processes.
Processing Bottlenecks
Document processing was a major operational bottleneck, with average processing times of 3-5 days for insurance claims and 7-10 days for loan applications. These delays were negatively impacting customer satisfaction and causing the company to lose business to more agile competitors who offered faster turnaround times.
Data Entry Errors
Manual data extraction and entry from documents resulted in an error rate of 8-12%, leading to rework, compliance issues, and customer dissatisfaction. These errors were costing the company an estimated ₹3.5 crore annually in operational inefficiencies and lost business opportunities.
High Operational Costs
GlobeFinance employed a team of 180+ data entry operators across their operations, representing a significant operational expense. Despite this investment, the company was still struggling to keep pace with document processing volumes, particularly during peak periods, leading to backlogs and escalating overtime costs.
"Our business is fundamentally document-driven, and our manual processing approach had become our Achilles' heel. We were drowning in paperwork, with our team spending countless hours on repetitive tasks like document sorting, data extraction, and validation. The delays and errors were not just operational issues—they were affecting our customer experience and our ability to compete effectively in an increasingly digital market."
Rahul Sharma
Chief Operations Officer, GlobeFinance Ltd.
Our Solution
YugantarX designed and implemented a comprehensive intelligent document processing platform that transformed GlobeFinance's document-intensive operations.
Intelligent Document Classification
We implemented advanced document recognition capabilities:
- AI-powered classification of 50+ document types including ID proofs, income documents, claim forms, and policy documents
- Multi-channel document ingestion from emails, uploads, scans, and mobile photos
- Automatic document splitting and categorization for multi-page packages
- Quality assessment for document images with feedback loop
Advanced Data Extraction
We deployed sophisticated data capture technology:
- Hybrid OCR combining traditional and deep learning approaches for superior accuracy
- Named entity recognition for key data points like names, addresses, policy numbers, and amounts
- Table extraction for structured data from bank statements, premium schedules, and claim documents
- Signature and handwriting recognition capabilities
Intelligent Workflow Automation
We created end-to-end workflow automation:
- Dynamic workflow routing based on document type, content, and business rules
- Automated validation against business rules and external databases
- Exception handling with confidence scoring and human-in-the-loop processing
- SLA monitoring and escalation for time-sensitive documents
System Integration & Analytics
We delivered seamless integration with business systems:
- Integration with core banking, insurance, and CRM systems
- Automated document storage and retrieval with metadata indexing
- Comprehensive analytics dashboard for process monitoring
- Continuous improvement through machine learning feedback loops
Implementation Process
Our approach followed a phased implementation to ensure rapid value delivery while managing complexity.
Phase 1: Discovery & Blueprint (2 months)
We conducted a comprehensive assessment of GlobeFinance's document processes, document types, and systems landscape. This phase established the foundation for the intelligent document processing platform design.
Key Deliverables:
- Document inventory and categorization
- Process analysis and bottleneck identification
- Document sample collection for ML training
- Integration requirements specification
- Implementation roadmap and prioritization
Phase 2: Core Platform Development (3 months)
We developed and implemented the core document processing platform, including document ingestion, classification, and basic extraction capabilities. This phase focused on establishing the foundation for advanced document processing.
Key Deliverables:
- Document capture and ingestion system
- Classification model development and training
- Basic OCR and data extraction pipeline
- Cloud infrastructure implementation
- Initial system testing and validation
Phase 3: Advanced Extraction & Workflow (2 months)
We implemented advanced data extraction capabilities and workflow automation features, enhancing the platform's ability to process complex documents and automate end-to-end processes.
Key Deliverables:
- Advanced OCR and extraction models
- Table and unstructured data extraction
- Workflow rules engine implementation
- Exception handling framework
- Validation and verification capabilities
Phase 4: Integration & Analytics (1 month)
We integrated the document processing platform with GlobeFinance's core business systems and implemented comprehensive analytics and reporting capabilities.
Key Deliverables:
- Core system API integrations
- Document storage and retrieval system
- Analytics dashboard implementation
- Performance monitoring framework
- Continuous improvement process setup
Phase 5: Rollout & Optimization (1 month)
We conducted a phased rollout of the platform across document types and departments, focusing on change management, training, and system optimization based on real-world usage.
Key Deliverables:
- Phased deployment across document types
- User training and documentation
- Performance optimization and tuning
- Model refinement with production data
- Support process establishment
Measurable Results
The intelligent document processing platform delivered significant operational and business outcomes for GlobeFinance Ltd.
Processing Efficiency
- 60% reduction in document processing time
- 85% of documents automatically classified
- 92% data extraction accuracy on structured documents
Operational Impact
- 50% reduction in manual data entry requirements
- 75% decrease in document-related errors
- 40% of staff redeployed to higher-value activities
Business Outcomes
- 32% improvement in customer satisfaction scores
- ₹4.8 crore annual operational cost savings
- ROI achieved within 7 months of implementation
"The intelligent document processing platform has fundamentally transformed our operations. What previously took days now happens in hours or even minutes. Beyond the efficiency gains, which are substantial, we've seen a remarkable improvement in data accuracy and customer satisfaction. Our staff now focus on value-added activities rather than manual data entry, and we've gained the agility to respond to market opportunities much faster than before."
Priya Malhotra
Chief Executive Officer, GlobeFinance Ltd.
Technical Architecture
The solution architecture balanced advanced AI capabilities with enterprise integration and security requirements.
Architecture Components
-
Document Capture Layer
Multi-channel document ingestion system supporting email attachments, web uploads, mobile captures, and scanner integration with preprocessing for image enhancement.
-
AI Processing Engine
Machine learning models for document classification, data extraction, validation, and anomaly detection with a model management framework for continuous improvement.
-
Workflow & Business Rules
Configurable workflow engine for document routing, approval processes, and exception handling with a business rules management system for validation and decision making.
-
Integration & Storage
API gateway for integration with enterprise systems, document management repository with full-text search capabilities, and comprehensive audit trail for compliance requirements.
Key Technologies
AI & Document Processing
Cloud & Infrastructure
Integration & Workflow
Security & Compliance
Related Case Studies
Explore more success stories from our financial services work.
Ready to Transform Your Digital Infrastructure?
Contact our team to discuss how we can help you modernize your technology landscape while meeting your industry-specific requirements.