Talk delivered at the ISSIP Discovery Summit: AI & Automation on 12 May 2021. Abstract: Traditionally, process automation and process monitoring have been living in two worlds. As AI technology reaches maturity, we are seeing a convergence between automation and monitoring. Data collected during the execution of business processes is fed into AI tools, which in turn drive the automation of these processes. For example, predictive process monitoring techniques exploit events generated during the execution of a process (e.g. in an ERP or a BPMS) allow us to make predictions about the future states of a process. These predictions are then used to trigger interventions, to enhance the performance of the process. In the RPA world, UI-level events gathered on the background while workers perform their daily work are used to discover automatable routines that are then used to instrument RPA bots. These and other applications of AI techniques are going to reshape the way we think about the BPM lifecycle. Monitoring and automation will be replaced by AI-Infused Process Execution.