Extant literature on project resource management emphasizes the value of technology in improving planning and execution, but it also highlights the limi-tations of traditional workforce management systems. However, many existing systems lack the intelligence and automation capabilities necessary to adapt in real-time to the fluid conditions of fieldwork in utility services. As a result, this study aimed at: evaluating the effectiveness of AI-powered monitoring systems in improving resource planning and allocation; and investigating the impact of real-time AI tracking tools on operational efficiency in utility service manage-ment. The paper employed descriptive approach by conducting digital survey targeting project managers and utility service managers in United Arabs Emir-ates (UAE). The study collected 217 responses. The findings revealed that AI-powered monitoring systems markedly improve the accuracy of resource planning and allocation, driven by their advanced predictive analytics, real-time responsiveness, and adaptability across operational contexts. Similarly, AI-enabled real-time tracking systems have shown significant impact on opera-tional efficiency, particularly in facility management services. Consequently, the study concluded AI-based manpower verification tools hold significant trans-formative potential that can enhancing project resource management within utility services.