Year: 2025
Type: article
Abstract: Agile project management has revolutionized software development and complex project execution by prioritizing adaptability, collaboration, and iterative delivery.However, Agile teams often face challenges related to dynamic requirement changes, workload distribution, and risk mitigation.Artificial Intelligence (AI) is enhancing Agile methodologies through intelligent automation, predictive analytics, and data-driven decisionmaking.AI-powered tools improve sprint planning, backlog prioritization, and workflow optimization by analyzing historical data and identifying trends.Additionally, AI assists in risk detection, sentiment analysis, and real-time productivity insights, thereby facilitating more informed decision-making.AI-driven chatbots and virtual assistants enhance communication and collaboration among distributed teams.Despite its transformative benefits, AI integration in Agile presents challenges such as data dependency, ethical concerns, and implementation complexities.This paper explores the integration of AI in Agile workflows, its impact on Agile roles, potential challenges, and future trends, ultimately highlighting AI's growing significance in modern project management.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409591424