Want to know how an IT forensic expert uncovers accounting fraud in corporate IT systems!?
Then you should listen to the podcast episode with Daniel Winkler and me. We explain what to look out for, the key indicators, and why automation does not necessarily mean AI.
In this episode, we discuss:
We are on the hunt for fraudsters. And with analytics, we eventually catch the perpetrators. But we find so much more!
We also uncover errors within a company, as well as the hidden potential. And the amount of money involved is often much greater than in most fraud cases.
In fact, it’s a fascinating process because, in most cases, the proportion of people who commit fraud within a company is much lower than the proportion of employees whose mistakes cause the company to lose money. This is why it’s an even more exciting starting point. Nonetheless, I would still start with the fraudsters and put up a block there.
In the podcast interview above, I provided insights into how I approach routine audits and case-specific investigations.
Often overlooked: these (forensic) methods can also be adapted to other issues: analyzing errors and identifying business potential. Where can companies improve? Where are they unnecessarily losing money? The latter is money that companies can quickly recover and reinvest.
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