Case Study: ARAG Automates & Streamlines Insurance Claims Process and Increases Throughput More Than 350%

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ARAG's Results:

• Increased daily throughput by more than 350%
• Digitized the process from import to indexing for both employees and partners
• Enabled the company to automatically index and archive an average of 35,000 mail documents and 3,000 faxes daily
• Migrated to a 100% Java solution while supporting AFP, TIFF, and JPEG
• Increased the number of employees with access to the images from 450 up to ~2000
• Expedited processing of finishing requests and creation of contracts through automated system, saving time and increasing efficiency.
• Created a track record of document workflow history.

With the completion of the project, incoming mail is now redirected for centralized delivery in Duesseldorf, where it is scanned and indexed prior to distribution. Incoming email is also converted to TIFF and stored on the system. Overall, the company now processes mail and e-mail for an average of 17,000 incidents daily, and stores 35,000 incoming mail documents daily, totaling approximately 70,000 pages, plus 3,000 faxes averaging 10,000 pages.

The system provides ARAG’s internal employees and sales partners with online import functionality for multiple document and image formats, so that claims could be submitted online and indexed directly at the office. Since ARAG’s claims departments had to deal with evidentiary photos, it became necessary to store JPEG as well as Multi-page TIFF images.

From the project’s initial inception in 1999, Snowbound’s RasterMaster for the Java Platform scaled effortlessly throughout all phases of ARAG’s processing and archiving solution. This enabled the insurer to migrate to 100 percent Java while supporting all of the required file formats including AFP, TIFF and JPEG. ARAG is currently investigating adding RasterMaster’s support for Microsoft® Word and PDF, as well.

Snowbound’s RasterMaster also provided the advanced processing functionality required for ARAG to successfully implement their front-end client viewing and indexing applications, which grew from 200 to 450 users in two years. Gronenborn says, “Now all 450 users can manage incoming documents through a single powerful system that combines records and workflow functionality — enabling ARAG to increase daily throughput by more than 350 percent.”

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