Abstract

This study examined the integration of Artificial Intelligence (AI) in tracking workplace routine activities within local government administration in Akwa Ibom State, Nigeria. Using a descriptive research design, the study explores the potential of AI technologies— such as machine learning, natural language processing, and robotic process automation—in improving efficiency, productivity, and decisionmaking processes. A structured questionnaire was the primary data collection instrument, targeting 300 respondents across various local government departments through stratified random sampling and purposive sampling techniques. The validity of the instrument was ensured through expert reviews, while a pilot study refined the questionnaire for clarity. Reliability was measured using Cronbach’s Alpha, achieving a value above 0.70. Data collection was conducted online via Google Forms and email distribution, ensuring broad geographical representation. Analysis of data employed descriptive statistics, correlation, and regression analyses to evaluate relationships between AI integration, tracking efficiency, staff productivity, and satisfaction. Findings reveal a strong correlation between AI integration and tracking efficiency (r = 0.75), as well as staff satisfaction (r = 0.80). Regression analysis confirmed AI integration and tracking efficiency as significant predictors of staff productivity, explaining 85% of its variation (R² = 0.85). This study underscores the transformative potential of AI in enhancing workplace efficiency in local government administration, while emphasizing the need for improved infrastructure and strategic implementation to address existing barriers.