Boost Mobile Employee Guilty of Fraud

Smaller more inconsequential thefts can add up to be costly

We often hear in the news of big-time frauds or corruption scandals, totaling to millions of dollars. But are we aware of the many times these same crimes are committed right under our noses? Recently, a 29-year-old Boost Mobile employee was arrested for embezzling over two thousand dollars. Richard Lamont Ainey, from Hot Springs, Arkansas, received a three-year prison sentence on accounts of computer fraud and property theft.

One day, a local woman went to Boost Mobile to open an account and was kindly helped by Ainey. He took her information and she left, thinking nothing of it. A day later she discovered a near $80 Door Dash charge on her card that she had not initiated. Suspicious? When Detective Nathan Rines followed up with the store manager, he found a copy of the order on the computer, complete with Ainey’s address . This Door Dash conundrum was just the beginning of his crimes, though.
It was later discovered that Ainey had overcharged the woman around $30 and made an additional purchase of $50 using her card information. At the time of his arrest, he was already being prosecuted for a previous charge of embezzlement from Metro by T-Mobile.

While it may seem petty to get worked up over very small cases of fraud such as this, leaving them be will signal to other employees that this behavior is okay, and they can continue to do so. One overcharge of $30 isn’t much, but if thousands of other Boost Mobile employees started to do the same thing, the company would be at a huge financial loss. This is why it is so key to have checks and processes put in place to deter fraudulent behavior or other illegal behavior.

One such solution that has provided help with this issue to other companies around the world is EyeDetect® by Converus®. This is a lie-detection system that can determine if an employee is guilty of fraudulent behavior in just 30 minutes. It tracks the candidates’ pupil dilation while they answer a series of true or false questions. When they lie, their pupils dilate, and this gets exposed by the software. While you wouldn’t need to scan every employee every day, doing periodic tests would set a precedent that the company is aware that illegal behavior is going on, and that it is not okay. The test is non-invasive, easy to set up, and accurate. Other organizations that have put EyeDetect in place have seen great results in deterring crimes such as the one we have examined today. This could be the solution to put an end to fraudulent behavior.

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Photo by / Monoar Rony