Applying Artificial Intelligence on Project Management Office Improvement

Abstract

The use of Artificial Intelligence (AI) in Project Management Offices (PMOs) represents an important step forward in project management approaches increasing efficiency, decisionmaking, and strategy alignment. PMOs serve an important role in project portfolio management, maximizing resource use and assuring alignment with organizational goals. Although they frequently experience some issues like resource allocation inefficiencies, reactive risk management, and lack of strategic alignment. This study investigates how AI can improve PMO effectiveness across their functions. The study builds a comprehensive framework that connects AI applications like predictive analytics, real-time project monitoring, natural language processing, and others to the main PMO activities. These include portfolio and project monitoring, risk management, resource allocation, and portfolio optimization. The framework was created through an extensive literature review and was demonstrated through a hypothetical case study, illustrating AI's capacity to address common PMO issues. Following that, it was evaluated through expert interviews, which confirmed its practical relevance and application while emphasizing crucial implementation factors such as the necessity of a large volume of historical high-quality data, organizational readiness, and change management. Despite constraints, this research establishes a basic mode for integrating AI into PMO operations. The study concludes that AI-driven PMOs are better equipped to navigate complex project environments, stimulate innovation, and achieve strategic goals, allowing organizations to stay relevant in an increasingly dynamic business market. This work provides an approach for the practical adoption and future research of AI's potential to transform project management practices.