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Case Study: ARAG Automates & Streamlines Insurance Claims Process and Increases Throughput More Than 350%
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Company Profile:
With more than 3,700 employees in twelve European countries and the United States, Allgemeine Rechtsschutz Versicherungs-Aktien-Gesellschaft (ARAG) is an international leader in legal insurance with over 6.5 million policies in existence worldwide totaling more than 1.3 billion Euro in 2005. They offer life, health, liability, and motor vehicle insurance, as well as being Germany’s largest provider of private estate insurance.Challenge:
Processing and archiving massive volumes of paper mail was a major challenge for ARAG. In the past, a 50-person sorting team classified and distributed incoming mail throughout their Duesseldorf corporate offices, but the growing complexity and expense of physical processing and archiving led them to adopt an electronic system in 1995.
The system enabled ARAG to store incoming mail electronically in a centralized 150-person Policy Department. This department managed customer contracts and policies; including new requests for insurance products, address changes and other correspondence.
To prepare paper mail, a Policy Department team sorted and prepared documents for scanning by category; including "requests", "complaints", "notices" and "reminders", a process that required the addition of a cover page for each document. As the documents were scanned, a custom Visual Basic (VB) application was used to manually index each with the sender’s policy number. Indexed documents were captured and stored in a records system.
When ARAG updated their records system to a newer version, they reevaluated their processing and archiving software and decided to migrate their C/C++ document conversion solution, the VB indexing application, and client application to Java. This move would enable them to support infrastructure growth independent of hardware and operating system requirements.
In order to make the switch, ARAG needed a 100-percent Java solution that would enable them to perform vital document processing and conversion on their captured TIFF electronic documents. ARAG required reliable functionality for their front-end client viewing and indexing applications, and needed the solution to scale effectively as they added new functionality over time. With more than 200 users and 20,000 pages scanned daily, ARAG sought a reliable Java SDK and Library to facilitate the process.
Read about ARAG's solution.
