Abstract

This study assessed the integration of Artificial Intelligence (AI) in tracking workplace activities for effective administration within local government areas in Delta State, Nigeria. Adopting a descriptive survey research design, the study targeted a population of 445 local government employees, including administrative staff, ICT officers, and general staff. A sample size of 210 respondents was determined using Yamane’s formula, selected through a multistage sampling technique to ensure representativeness across different roles and locations. Data were collected using structured questionnaires containing both closed- and open-ended questions. Validity was ensured through expert review and pilot testing, while reliability was confirmed using Cronbach’s Alpha. Findings revealed a moderate level of AI integration, with significant adoption of biometric attendance systems (71.9%) and AI-based payroll systems (65.7%), while more advanced tools like performance analytics and workflow tracking software showed lower utilization. Respondents widely perceived AI as effective in enhancing staff attendance, accountability, productivity, and reducing the incidence of ghost workers. Regression analysis indicated a strong positive relationship between AI integration and staff performance (R = 0.704; R² = 0.496), with AI tools accounting for approximately 49.6% of the variance in performance. The model was statistically significant (p < 0.05), leading to the rejection of the null hypothesis. The study concludes that AI plays a significant role in improving administrative efficiency and workforce management in local government systems. It recommends broader implementation of advanced AI tools and capacity-building initiatives to maximize their potential in public administration