Artificial Intelligence in Project Success: A Systematic Literature Review

Projects play a vital role in achieving organizational success, where artificial intelligence (AI) has a transforming impact in project management (PM). The integration of AI techniques into PM practices has the potential to significantly improve project success rates and enable more effective project management. This article adopted a systematic literature review (SLR) methodology, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and employing a content analysis strategy to review 61 peer-reviewed academic journal articles published between 2015 and 2025 in the Web of Science and Scopus. This study investigates the key project success dimensions influenced by AI throughout the project lifecycle, and identifies the AI sub-fields and algorithms employed in relation to project success, where time and cost are found to be the most significantly affected factors in project success. Machine learning (ML), along with its corresponding algorithms, emerged as the most frequently applied AI subfield. This study overviews key AI-influenced project success factors and the main AI subfields and algorithms in recent literature, providing actionable insights for diverse project stakeholders aiming to enhance outcomes through AI. Limitations, including the lack of industry or regional focus, exclusion of project management process groups, and omission of gray literature, were also acknowledged, which suggest valuable directions for future research.