  Business processes that involve AI-powered automation have been gaining
importance and market share in recent years. These business processes combine
the characteristics of classical business process management, goal-driven
chatbots, conversational recommendation systems, and robotic process
automation. In the new context, prescriptive process monitoring demands
innovative approaches. Unfortunately, data logs from these new processes are
still not available in the public domain. We describe the main challenges in
this new domain and introduce a synthesized dataset that is based on an actual
use case of intelligent process automation with chatbot orchestration. Using
this dataset, we demonstrate crowd-wisdom and goal-driven approaches to
prescriptive process monitoring.
