Arthur, McAdamsAlsaid, Maram2025-02-192025-01-29https://hdl.handle.net/20.500.14154/74900Projects are composed of a complex set of interrelated tasks, each constrained by specific deadlines, allocated resources, and budget limitations. The primary aim of any project is to achieve predefined objectives that deliver results aligned with customer or stakeholder expectations and requirements. Effective project management plays a critical role in ensuring project success by integrating strategies, tools, and methodologies. These approaches are essential for meeting the fundamental project constraints—scope, cost, and time—while keeping projects on track and ensuring high-quality outcomes.This study investigates the evolution of project management practices and explores how Artificial Intelligence (AI) enhances project success by addressing traditional challenges. Drawing on historical and modern project management frameworks, the research highlights persistent factors contributing to project failures, such as unclear requirements, lack of user involvement, and poor planning. Utilizing a systematic literature review and meta-analysis of recent studies, the findings demonstrate AI's transformative potential in automating tasks, improving risk identification, supporting data-driven decision-making, and enhancing team collaboration. AI techniques, including supervised and unsupervised learning, predictive analytics, and AI-powered tools like chatbots, have proven to streamline project timelines, reduce costs, and improve overall project outcomes. The study concludes that integrating AI into project management not only mitigates human error but also empowers project managers to focus on strategic decision-making, positioning AI as a critical driver for success in an increasingly complex and globalized environment.30en-USAI Artificial IntelligenceCCPM Critical Chain Project ManagementCPM Critical Path MethodThesis