Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends

Large Language Models (LLMs) are being leveraged to enhance Business Process Modeling, with recent advances in Generative Artificial Intelligence driving interest in automating tasks using natural language. This development has led to the proposal of various approaches for transforming textual process descriptions into workflow models, such as BPMN. Researchers are exploring the effectiveness of these approaches in supporting complex business process modeling tasks. The integration of LLMs in business process modeling has significant implications, as it can reshape both capability and risk surfaces¹. As LLMs continue to evolve, their potential to introduce new security risks must be carefully considered. The security implications of LLMs are a critical concern, particularly as vendors like Intel continue to develop and deploy these models. So what matters to practitioners is that they must carefully evaluate the security risks associated with LLMs in business process modeling to mitigate potential threats.