Kaare Consulting
Document Processing

Eliminating 30K+ Document Backlog with AI Processing

Intersolia6 months

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.

The 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

  1. 1Analyzed existing document patterns and processing requirements
  2. 2Developed a multimodal AI pipeline architecture
  3. 3Designed unique document dissection strategy for parallel processing
  4. 4Implemented multiple LLMs working in concert on document components
  5. 5Utilizing human-in-the-loop validation for quality assurance

Technologies Used

PythonDockerGemini AI

Results

  • Backlog under control within 6 months
  • 1,000+ documents processed daily
  • >96% data quality ensured
  • 3x increase in document throughput
30K+Documents ProcessedComplete backlog elimination
1K+Daily CapacitySustained processing rate
>96%Automated ProcessingData quality ensured
3xDocument ThroughputCompared to manual processing

Business Impact

  • Integrated human-in-the-loop validation for quality control
  • Enabled scalable document handling for future growth
  • Created foundation for digital transformation initiatives

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