Quick Overview
A leading Nordic insurer collaborated with EY to implement an AI-driven document processing system for claims management. The system automated extraction, classification, and processing of unstructured data from bills, invoices, and medical documents, integrating with legacy systems and scaling to business needs.
Nordic Insurance Company
Company Size
Large multinational insurance company
Revenue Range
Not publicly disclosed
Primary Challenge
Streamlining claims processing and improving operational efficiency with AI
Key Metrics
\- 70% of documents correctly extracted and interpreted\- Near real-time processing\- Improved agent productivity and customer service\- Enabled global expansion
The Problem
Manual claims processing was slow, repetitive, and hampered by unstructured data from diverse sources
The Solution
EY Fabric Document Intelligence combined with legacy system integration, using machine learning and NLP to automate data extraction and classification
Results
\- Accelerated claims processing\- Freed agents for personalized customer interactions\- Enhanced customer satisfaction\- Scalable and transparent AI implementation
“The integration of AI into our claims management process is an important milestone, allowing agents to spend more time with customers.”
Lars Pettersson, CEO, Nordic Insurance Company
Details
Industry
Finance & Banking
Departments
Data & Analytics
Account Management & Client Success
Use Cases
Process Documentation
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
No items found.
Sources
https://zenphi.com/ai-document-processing-case-studies/https://www.ey.com/en_us/insights/financial-services/emeia/how-a-nordic-insurance-company-automated-claims-processinghttps://neosmart.ai/nordic-insurance-modernizes-claims-management-ai-solution/
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