Despite being a viable basis for enterprise digital transformation in public administrations, the benefit of AI depends on governance, data preparedness, workforce buy-in, and the ability to deliver tangible public value, not only on acquiring technology solutions. This review article analyses the potential ways of implementing AI-driven strategies of enterprise digital transformation in supporting public sector reform in the Kingdom of Saudi Arabia focusing on Vision 2030, public service improvement, operational effectiveness, transparency, and resiliency. The research will be based on a structured narrative review enhanced by a thematic synthesis of the relevant literature in the field published within 2020-2025, such as articles about digital government, AI implementation in public administrations, public value, data governance, cyber security, cloud computing, automation, and digital transformation policy in Saudi Arabia. The analysis will identify five strategic pillars – alignment of AI strategies, trusted infrastructure, intelligent automation processes, human-cantered digital services, and responsible AI governance. In addition, it will suggest the framework for implementation and phased strategy for public sector entities in Saudi Arabia. The findings show that AI can help to increase the efficiency of services through accelerating them, improving decision-making, predicting demand, identifying fraudulent activities, triaging cases, allocating resources, interacting in multiple languages, and monitoring performance. However, such barriers as poor inter-operable platform, inadequate governance structure, inflexible procurement practices, lack of talent, explainability concerns, privacy issues, and resistance to change can negatively affect benefits achieved.
Fahad Yusuf (2026) studied this question.
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