Automated Benefits Corp.

Automated Benefits Corp.

October 30, 2007 08:00 ET

Automated Benefits Expands Symbility Sales Team

TORONTO, ONTARIO--(Marketwire - Oct. 30, 2007) - Symbility Solutions Inc., a wholly owned subsidiary of Automated Benefits Corp., (TSX VENTURE:AUT) is pleased to announce the addition of two new members to its growing sales and pre-sales team.

Perry Goldman joins the Symbility team as Regional VP, Sales, focused on key accounts in the USA. Prior to joining Symbility, Mr. Goldman held positions as National Accounts Sales Manager and Sales Representative at SIMSOL Software, R.S. Means and Marshall & Swift, all businesses dedicated to property insurance claims estimating and management. Over Mr. Goldman's 24 year career in the Property & Casualty Insurance industry, his responsibilities have spanned insurance underwriting, property claims adjusting and sales management of estimating software and data solutions to property insurance companies.

Jackie Gennett has also joined the Symbility sales team as a Business Solutions Consultant focused on pre-sales, product demonstration and pilot management. Ms. Gennett comes to Symbility from the insurance estimating industry having held several positions at CCC Information Services and Safelite, both leading providers of automobile estimating and claims solutions. Throughout Ms. Gennett's career she has been responsible for market operations, product management, customer operations and call centre management related to claims technology, leveraging her sales capabilities and technical education in computer science.

"Perry and Jackie bring a wealth of market experience and professionalism to Symbility", states Boris Znebel, President, Symbility Solutions Inc. "Adding high caliber people with industry credibility further strengthens our profile in the market and opens doors to new potential customers."

About Automated Benefits Corp. and Symbility Solutions

Automated Benefits Corp., headquartered in Toronto, Ontario, is a software company dedicated to developing applications for the insurance industry. The corporation currently has two subsidiaries, Automated Benefits Inc. and Symbility Solutions Inc.

Symbility Solutions Inc. ( is in the business of automating insurance claims. Its award-winning mobile claims™ solutions are designed to increase the speed and accuracy of damage claims processing by allowing claims adjusters, carriers, and restoration contractors to process claims on-site, resulting in increased customer satisfaction levels. Hand written notes and post-inspection data entry is eliminated. Complete mobility provides the means to access key information on location and instantly settle claims up to three times faster and more accurately, thereby reducing adjusting expenses and lowering indemnity.

Automated Benefits Inc. ( provides a software solution for the adjudication of Health and Dental claims. This software adjudicates claims in real time while providing clients with the highest level of flexibility available and complete disclosure on the plan's financial performance. Autoben enables their clients to provide an additional level of value-added service in a very cost effective manner. The Autoben software supports the adjudication of Health and Dental claims through local insurance brokers for over 35,000 employees across Canada.

All trade names are the property of their respective owners.

Except for historical information contained herein, this news release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially. Automated Benefits Corp. will not update these forward-looking statements to reflect events or circumstances after the date hereof. More detailed information about potential factors that could affect financial results is included in the documents filed from time to time with the Canadian securities regulatory authorities by Automated Benefits Corp.

The TSX Venture Exchange Inc. has not reviewed and does not accept responsibility for the adequacy or accuracy of this release.

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