Technical University of Munich
Large Process Models in Business Process Management
Pages
15
Time to read
59 mins
Publication
Language
English
Pages
15
Time to read
59 mins
Publication
Language
English
This document is a research article that discusses the concept of Large Process Models (LPMs) in the context of Business Process Management (BPM) and generative artificial intelligence. It outlines the advantages of integrating Large Language Models (LLMs) with knowledge-based systems to enhance the reliability and trustworthiness of process management. The authors propose that LPMs can leverage extensive process management experience and performance data to provide tailored business models and improvement recommendations. The article details the potential applications of LPMs, emphasizing their ability to reduce the time and effort required for business transformation. It also addresses the feasibility of implementing LPMs while highlighting the associated risks and challenges. The discussion includes a review of existing research and the need for a systematic perspective on how generative AI can facilitate BPM, ultimately aiming to make business processes more adaptable and context-sensitive.