Eliminating 30K+ Document Backlog with AI Processing
Intersolia faced a critical 30K+ document backlog across multiple formats PDFs that required manual processing. The existing workflow was consuming excessive resources, creating bottlenecks, and preventing scalable operations.
The Challenge
Intersolia faced a critical 30K+ document backlog across multiple formats PDFs that required manual processing. The existing workflow was consuming excessive resources, creating bottlenecks, and preventing scalable operations.
Our Solution
Built an AI-powered document processing system using multiple language models in parallel. Developed a unique approach to break down complex documents into smaller components for efficient processing, with human-in-the-loop validation to ensure accuracy.
Our Approach
- 1Analyzed existing document patterns and processing requirements
- 2Developed a multimodal AI pipeline architecture
- 3Designed unique document dissection strategy for parallel processing
- 4Implemented multiple LLMs working in concert on document components
- 5Utilizing human-in-the-loop validation for quality assurance
Technologies Used
Results & Business Impact
Key Outcomes
- ✓Backlog under control within 6 months
- ✓1,000+ documents processed daily
- ✓+90% accuracy rate maintained
- ✓3x increase in document throughput
Business Impact
- →Integrated human-in-the-loop validation for quality control
- →Enabled scalable document handling for future growth
- →Created foundation for digital transformation initiatives
“The AI solution transformed our document processing from a major operational bottleneck into a competitive advantage. We can now handle volumes that would have been impossible manually.”
Key Learnings
Importance of robust exception handling in production AI systems
Power of asynchronous parallel processing to maximize AI quota utilization
Critical role of stakeholder training in AI adoption success
Value of thoughtful process design in decomposing problems for efficient AI use