AI DOCUMENT INTELLIGENCE PLATFORM
INDUSTRY
Financial Services & Insurance
TECHNOLOGIES
TensorFlow, Python, OpenAI, AWS
PROJECT DURATION
8 Months
PROJECT OVERVIEW
Built an enterprise-grade AI document intelligence platform that automatically extracts, classifies, and processes documents using advanced machine learning and natural language processing. The system handles invoices, contracts, claims, and correspondence with human-level accuracy.
The client, a major insurance company, was spending thousands of hours manually processing documents. Our AI solution automated 80% of their document workflows while maintaining 95% accuracy, enabling staff to focus on complex cases requiring human judgment.
KEY RESULTS
95%
Document extraction accuracy
80%
Reduction in manual processing
10x
Faster document processing
$2.5M
Annual cost savings
CHALLENGES & SOLUTIONS
CHALLENGE: Diverse Document Formats
The client received documents in 50+ formats including PDFs, scanned images, emails, and handwritten forms with varying quality.
SOLUTION: Implemented multi-modal AI combining OCR, computer vision, and NLP to handle any document format. Used ensemble models for robust extraction regardless of input quality.
CHALLENGE: Industry-Specific Terminology
Insurance documents contain specialized terminology and complex nested structures that generic AI models couldn't understand.
SOLUTION: Fine-tuned large language models on domain-specific data and created custom entity recognition models for insurance-specific terms, policy numbers, and claim references.
CHALLENGE: Compliance & Audit Requirements
Financial regulations required full traceability and explainability of automated decisions.
SOLUTION: Built confidence scoring with human-in-the-loop workflows for low-confidence extractions. Implemented comprehensive audit logging and decision explanation features.
CHALLENGE: Scale & Performance
System needed to process 100,000+ documents daily with sub-second response times for real-time applications.
SOLUTION: Deployed models on AWS with auto-scaling infrastructure. Implemented intelligent caching, batch processing pipelines, and optimized model serving with ONNX runtime.
AI CAPABILITIES
INTELLIGENT EXTRACTION
- Named entity recognition
- Table extraction & parsing
- Handwriting recognition
- Multi-language support
CLASSIFICATION & ROUTING
- Auto document classification
- Priority scoring
- Smart workflow routing
- Anomaly detection
TECHNICAL IMPLEMENTATION
AI/ML STACK
- TensorFlow & PyTorch models
- OpenAI GPT-4 integration
- Custom NER with spaCy
- Tesseract & AWS Textract OCR
- LangChain orchestration
INFRASTRUCTURE
- AWS SageMaker deployment
- Lambda serverless functions
- Redis caching layer
- PostgreSQL + vector DB
- Kubernetes orchestration