GPG Announces the Release of its Newest Collector Productivity System

Vancouver, BC – The Guthrie Phillips Group Inc. (GPG) announces the release of TopNotch, a new ASP.NET browser-based collection system. TopNotch is modeled on GPG?s highly successful WinCAT and WinRAM systems. Designed to meet the increasing demand for flexible multi-user collection systems in the North American financial industry, TopNotch provides Banks and Credit Unions with a highly effective tool for managing all types of delinquent accounts.

TopNotch is designed to enhance collector productivity with an intuitive and easy to use Graphical User Interface. ?An effective screen layout is not only nice to have, it is essential in order to substantially improve the productivity of individual collectors?. In addition, TopNotch?s comprehensive presentation of client information makes it an excellent tool for developing customer relationships and ensuring success in debt collection,? explains David Phillips, President of GPG.

TopNotch combines a superior interface, real-time data updates and excellent productivity tools. Feature for feature, TopNotch goes above and beyond other systems in a comparable price range. By reducing labor requirements and increasing the client?s ability to manage a complete range of accounts and collection processes, GPG strives to maximize its customers? return on investment.

For more information on TopNotch, please visit www.GuthriePhillipsGroup.com or contact us at 1-877-474-2971.

About GPG
Since incorporation in 1990, The Guthrie Phillips Group Inc. has established itself as a developer and supplier of highly specialized software. GPG?s goal is to assist Credit Unions, Banks and other organizations to improve their bottom lines by enhancing the functionality and efficiency of their business systems.

The source of GPG?s strength has been the company?s ability to translate its management consulting expertise into state-of-the-art computer software. All of GPG?s systems have been developed closely with clients to address the data-processing shortfalls that exist in typical financial industry software.