Agile & AI in IT Project Management - How AI Can Drive IT Projects

Saurabh Gupta

Abstract: Convergence of Agile methodologies with AI is changing IT project management toward data - driven decisions, optimized efficiency, and flexible engagements. The iterative nature of Agile works seamlessly with AI capabilities for task automation, real - time insights, and project challenge prediction, allowing IT teams to swiftly down - shift and adapt with demands. Through case studies, this article showcases how companies use AI - powered Agile tools to maximize project outcomes and attractiveness of returns on investments with respect to product development, task automation, and collaboration. Future trends of AI decision - making, predictive analytics, and personalized Agile processes will ensure that IT management is better tuned into real - time scenarios and collaborative settings, especially in remote scenarios, equipping companies with precision and agility for more complex projects.

Keywords: Automation, AI in IT, Agile Project Management, Machine Learning, Predictive Analytics, Agile Methodology, NLP, Project Management Tools, Project forecasting, Data driven decision-making

How to Cite?: Saurabh Gupta, "Agile & AI in IT Project Management - How AI Can Drive IT Projects", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 63-67, https://www.ijsr.net/getabstract.php?paperid=SR25331011229, DOI: https://dx.doi.org/10.21275/SR25331011229