TRANSFORMING AGILE PROJECT MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE

Abstract

In the context of the rapid transformations of the past decade, Artificial Intelligence (AI) is significantly reshaping processes across all industries, including—perhaps most notably—software development. This paper explores the multifaceted role of AI in transforming Agile project management practices, highlighting key innovations, challenges, and benefits. Based on a review of the literature combined with exploratory case examples from current industry practices, the study identifies AI-driven technologies that enhance decision-making and forecasting capabilities. While AI offers significant advantages—such as automating routine tasks and enabling predictive insights—its integration also presents critical challenges. These include concerns related to data privacy and security, overreliance on technology, limitations in integration, and the pressing need for project managers to develop new competencies in a rapidly evolving technological landscape. The paper aims to provide a structured perspective on how AI can be strategically embedded into Agile processes to enhance project outcomes. The findings suggest that AI not only boosts productivity but also redefines team dynamics and strategic decision-making, contributing to a deeper understanding of how AI can sustainably support modern project management.

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