Thank you for the question.
That is correct. For us, what is important during investigations is the level of existing risk. We build analytical models. We try to determine the sources of potential errors, which can be very legitimate. For example, someone may put down the wrong date for the end of their employment, and that makes it seem like the individual left their job after more than six months. Then they tell us that they did not leave on that date. So we really look into errors and fraud, and we use analytical models. That gives us an opportunity to identify overpayments we could recover.