AI Manpower Verification Tool for Managing Project Resource Management in Utility Services in United Arab Emirates (UAE)

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.