  Large language models are deep learning models with a large number of
parameters. The models made noticeable progress on a large number of tasks, and
as a consequence allowing them to serve as valuable and versatile tools for a
diverse range of applications. Their capabilities also offer opportunities for
business process management, however, these opportunities have not yet been
systematically investigated. In this paper, we address this research problem by
foregrounding various management tasks of the BPM lifecycle. We investigate six
research directions highlighting problems that need to be addressed when using
large language models, including usage guidelines for practitioners.
