Application of artificial intelligence in agile project management: a task-technology fit lens

Purpose This study conducts a systematic literature review to examine the applications of artificial intelligence (AI) in agile project management (APM) (AI-in-APM). Guided by the task-technology fit (TTF) lens, it aims to move beyond descriptive summaries and critically analyze the congruence between AI technologies and the tasks of APM. Design/methodology/approach Mixed methods are employed in this study, which integrates bibliometric analysis of 361 papers on APM with systematic content analysis of 47 papers specifically focused on AI-in-APM. Findings The analysis maps the fit mechanisms of various AI techniques to core APM tasks and identifies their practical strengths. In addition, it reveals persistent fit gaps and socio-technical tensions (e.g. between algorithmic opacity and agile transparency) that define the future research directions of AI-in-APM. Originality/value This study provides an integrative APM framework through the TTF lens. It reveals fit strengths and critical misfits of AI-in-APM.