Authors : Kazi Rezwana Alam; Chapal Barua; Jesmin Ul Zannat Kabir

Volume/Issue : Volume 10 - 2025, Issue 1 - January

Google Scholar : https://tinyurl.com/mtz3yn6m

Scribd : https://tinyurl.com/mr2p34fh

DOI : https://doi.org/10.5281/zenodo.14792219

Abstract : In today’s dynamic world integral for a highly efficient process in the fields of manufacturing, construction, software development, and many others are the principles of project management based on the concepts of agility. Nonetheless, traditional agile processes fail to address the different challenges as organizations scale up, and decisions are delayed, or based on inadequate data and analysis. In this article, the author attempts to discover how AI and ML can revolutionize authentic ‘live’ project management and real-time adaptation and decision-making within the context of agility. Using advanced analytics, the function of AI/ML is to show how teams may predict risks, invest in them, and adjust processes. To this end, the study presents examples of comparisons between conventional and AI- based agile frameworks accompanied by appropriate indicators, including prediction accuracy and decision- making time.Returned findings indicate that there is a 30% enhanced sprint planning when a product uses AI/ML while there is a reduced decision- making by 40% when using the models Which are some benefits of using the models as the proposedIdeally, solutions will add on value in the overall final project. In light of these advancements, the performance graphs and the comparative tables provide descriptive account on every aspect.The results indicate how the AI/ML technology will help organizations leverage agility for proper preparation for the future, thus introducing new standards for project performance improvements.

Keywords : Agile Project Management, AI in Project Management, ML in Agile Frameworks, AI in PM, Agile and Aiclasses.

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