A Fortune 500 insurance company
AI-Powered Document Processing
The Challenge
The client processed over 50,000 insurance claims per month, each involving multiple unstructured documents — handwritten forms, medical reports, police filings, and scanned invoices. Manual review by claims adjusters created a 14-day average processing cycle, leading to customer dissatisfaction and high operational costs.
Our Solution
We built an intelligent document processing pipeline combining OCR, custom NLP models, and GPT-powered extraction. Incoming documents are classified by type, key fields are extracted with high confidence scores, and a RAG-based assistant helps adjusters review edge cases by surfacing relevant policy clauses. The system integrates directly into their existing claims management platform via REST APIs.
Results
- Reduced average claims processing time from 14 days to 3 days
- Achieved 94% accuracy on automated field extraction, reducing manual data entry by 78%
- Saved an estimated $2.4 million annually in operational costs
- Improved customer satisfaction scores (CSAT) by 22 points within 6 months of launch
- Processed 98% of standard document types without human intervention
Technologies Used
“The AI system Kenla built doesn't just speed things up — it fundamentally changes how our adjusters work. They spend their time on judgment calls, not data entry.”
Placeholder Name
VP of Claims Operations, Insurance Client
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