AI AND INTELLIGENT PROJECT MANAGEMENT

Abstract

Artificial Intelligence (AI) is transforming project management with enhanced project planning, project execution, and risk management. AI further streamlines the decision-making process. This research examined the state of AI in project management using a systematic literature review (SLR) based on the PRISMA 2020 guidelines. Using the PRISMA methods, 120 peer-reviewed articles on AI and project management published between 2018 and 2025 were collected and analyzed. Five databases were searched: Scopus, Web of Science, Science Direct, IEEE Xplore, and Google Scholar. The applications, advantages, and trends of AI in project management were the focus of these articles. The outcomes showed more research was conducted in the review period, thus showing more project-based organizations were adopting AI. The most cited forms of AI were Machine Learning and Predictive Analytics. These forms of AI were applied to project management functions including, but not limited to, planning, scheduling, risk management, decision-making, project management, and performance. AI was shown in all cited articles to enhance decision-making, improve management of project risks, improve project efficiency, improve management of project resources, and improve project time management. AI in combination with digital transformation was shown to help organizations move from a reactive approach to project management and planning to a proactive approach. Data management, AI algorithm transparency, research on AI ethics, and AI skills are still barriers to the widespread adoption of AI. AI is proving to be a key competitive advantage to organizations that wish to use project management to improve performance. Further studies need to concentrate on explainable AI, applications of generative AI, human-AI collaboration, and governance frameworks that facilitate the functional and responsible use of AI within project settings.