The aim of this paper is to determine the possibility of robotizing the business process "Anti-Money Laundering" (AML) and conduct speed measurements to determine the savings achieved by RPA. The first part presents both the advantages and disadvantages of RPA and details of the business process that includes the necessary internal and external applications. The measurement method collected data on the execution speed of the business process before and after RPA. The data shows that the average duration was reduced from 29 minutes and 48 seconds to only 4 minutes and 56 seconds, which is an acceleration of about 6 times. The average number of AML business process runs is 100 times per week (20 per day), which means that the average weekly savings amount to 40 hours and 27 minutes. The survey method was used to collect data before and after the introduction of RPA, and statistical methods were used to quantify the data. Based on the number of employees satisfied with their work, which increased from the initial 20% to 90%, it can be concluded that RPA of the selected business process increases employee satisfaction.