The integration of Artificial Intelligence (AI) into public service delivery is reshaping the way governments interact with citizens, optimize resources, and deliver essential services. This paper explores how AI technologies—ranging from machine learning and natural language processing to predictive analytics and intelligent automation—are being leveraged to enhance the efficiency, accessibility, and responsiveness of public services. By examining key use cases in healthcare, social welfare, public administration, and urban management, the study identifies the transformative potential of AI in reducing bureaucratic delays, personalizing citizen experiences, and improving decision-making. The paper also investigates critical challenges, including data privacy concerns, algorithmic bias, digital inequality, and the need for transparent governance frameworks. Through a mixed-methods approach combining literature review, policy analysis, and case studies from both developed and developing countries, this research highlights best practices and provides actionable recommendations for policymakers and public sector leaders. Ultimately, the paper argues that while AI is not a panacea, its responsible and inclusive deployment can significantly advance the goals of equitable and efficient public service delivery.