AI-augmented agile project management in engineering: A framework for smart decision-making and risk mitigation

Barua, Chapal and Kabir, Jesmin Ul Zannat and Alam, Kazi Rezwana and Nabil, Ashrafur Rahman and Duman, Sonay (2025) AI-augmented agile project management in engineering: A framework for smart decision-making and risk mitigation. International Journal of Science and Research Archive, 15 (3). pp. 967-973. ISSN 2582-8185

The study analyzed how Artificial Intelligence-driven decision-making might enhance agile project management. The use of Artificial Intelligence provides predictive analytics, real-time risk assessment. Decision making is driven by data, which increases the flexibility and efficiency of the project. This research proposed a framework that may optimize the effectiveness of Agile processes. All this is made possible by using Artificial Intelligence methods such as intelligent automation, machine learning, and natural language processing. The study highlights how Artificial Intelligence may enhance sprint planning. Impact of AI on backlog prioritizing, and resource allocation is also considered. This is accomplished via use of early detection and scenario analysis. The potential of Artificial Intelligence to transform project management in dynamic contexts is examined, along with its future implications for agile techniques in engineering.