Process AI to detect which variables are leading to a throughput higher than X days

Hey everyone, Im trying to put my head around the process AI feature for the first time, but have not got really far until now My process is linear, as Ive used process mining to analyse the performance of a purchasing process to detect what was causing higher than expected throughput time of a PO item, and also redundant POs released to a supplier. Having a target throughput time of 2 days, can I leverage process AI feature capabilities to detect most probable root causes (taking into account the characteristics of each event log, product reference, department, price, etc)?