Augmented Business Process Management Systems: A Research Manifesto

Dumas, Marlon, Fournier, Fabiana, Limonad, Lior, Marrella, Andrea, Montali, Marco, Rehse, Jana-Rebecca, Accorsi, Rafael, Calvanese, Diego, De Giacomo, Giuseppe, Fahland, Dirk, Gal, Avigdor, La Rosa, Marcello, Völzer, Hagen, Weber, Ingo

arXiv.org Artificial Intelligence 

These opportunities require a significant shift in the way the BPMS operates and interacts with its operators(both human and digital agents). While traditional BPMSs encode pre-defined flows and rules, an ABPMS is able to reason about the current state of the process(or across several processes) to determine a course of action that improves the performance of the process. To fully exploit this capability, the ABPMS needs a degree of autonomy. Naturally, this autonomy needs to be framed by operational assumptions, goals, and environmental constraints. Also, ABPMSs need to engage conversationally with human agents, they need to explain their actions, and they need to recommend adaptations or improvements in the way the process is performed. This manifesto outlined a number of research challenges that need to be overcome to realize systems that exhibit these characteristics.