By Rachel Morgan, Marketing –
49-year-old Jennifer Dwyer from Johnsbury Vermont was recently found guilty of stealing over 2 million dollars from her employer. She will face 51 months in prison and 3 years of supervised release for her crimes.
For over 10 years, Dwyer was the acting bookkeeper for NEAG, a family-owned business located in Maine. In her role as bookkeeper Dwyer managed customer billing, as well as the company’s accounts and payroll. By transferring money from the company’s payroll account into her own personal account, Dwyer managed to steal over 2 million dollars in a 10-year period, which she spent on online gambling, among other things.
In addition to lengthy prison sentence and subsequent supervised release, Dwyer will be charged over 2 million dollars in restitution fees. In order to satisfy those fees, Dwyer has applied many of her assets to the charges. She has forfeited a camper, 2 Chevrolet Silverados, a tractor, and a Sierra truck to help cover the costs. Additionally, Dwyer forfeited the payment she received for a Sea Doo watercraft, and also paid the value of the interest on her residence. The combination of these assets only results in $84,621.70, a small amount compared to the 2 million she stole. She will pay an additional several thousand dollars through the liquidation of her life insurance policy and investment account.
Dwyer faces hefty consequences for a hefty crime that she likely never anticipated would be discovered. It took 10 years for the company to discover dishonest actions, and by the time they did, Dwyer had dug herself a hole that she will never escape.
Employee theft is common, but preventable through the use of regular lie detection tests. In the past, lie detection tests took hours to administer and process, and required a trained professional to read their results. Thanks to a technology known as EyeDetect®, this is no longer the case. EyeDetect tests can be administered and processed in just 30 minutes and do not require a skilled professional to score. The technology functions by reading a subject’s pupil dilations while they take a standardized test. If the subject misrepresents themselves while answering one of the test’s questions, EyeDetect technology will know with 86% accuracy.
This new technology can facilitate regular employee screenings and is a revolutionary tool in protecting companies’ funds.