ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT: REVIEW AND ASSESSMENT OF CRITICAL SUCCESS FACTORS

Artificial intelligence (AI) technologies such as machine learning, predictive analytics, and natural language processing are increasingly being integrated into project workflows in organizations. However, while AI improves efficiency, automation, and decision making, many organizations struggle with technology infrastructure, workforce readiness, and regulatory compliance. The purpose of this study is to review and assess the critical success factors (CSFs) that influence the implementation of AI technology in project management. Based on the methodology of bibliometric analysis and expert assessment, advanced research on the topic, key development areas in the field were examined, and CSFs that contribute to the effective implementation of AI technology were identified. The findings indicate that successful integration of AI requires senior management support, strong leadership, organizational agility, workforce competence, and technology readiness. The results will be useful for project managers in organizations planning to implement AI to improve the efficiency of their workflows and projects. The application of the recommended list of 6 CFUs in the project management system will allow organizations to most adaptively and smoothly transition from traditional project management methods to AI-based methods.