The aim of the performance assessment in the post-production phase of an RPA implementation is to monitor the performance of the automated process and compare it with the baseline metrics established at the beginning of the project. This assessment helps in understanding whether the automation is delivering the expected benefits, such as improved efficiency, reduced errors, and cost savings. It also provides insights into areas that may require optimization or further improvement1.
[References: The purpose of performance assessment in RPA is outlined in resources such as the UiPath Community Forum, which discusses the importance of continuous improvement and performance monitoring in the lifecycle of RPA implementation1., , , , ]
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