Document processing is the unglamorous backbone of finance and insurance operations. Claims documents, underwriting submissions, compliance filings — billions of documents flow through these industries every year, and most are still processed manually or with brittle rule-based systems.
Traditional OCR and extraction tools solve only part of the problem. They can pull text from a PDF, but they can't understand context, apply business rules, or handle exceptions. The result is high error rates, expensive human review, and persistent backlogs.
Agentic AI transforms this equation. Instead of a single extraction model, our approach uses coordinated AI agents that classify documents, extract relevant fields, validate against business rules, and route exceptions to the right human reviewers.
The human-in-the-loop design is critical. Our agents don't try to replace human judgment — they augment it. When an agent encounters uncertainty, it escalates to a human reviewer with all relevant context, making the review process faster and more accurate.
Results from our deployments speak for themselves: 80% reduction in manual processing time, 95%+ accuracy on extraction tasks, and cycle times measured in minutes rather than days. The key is not just AI capability, but the platform infrastructure that makes it reliable at scale.