Purpose: To develop an AI decision support governance framework for the SAP-enabled operations of Saudi enterprises in line with the priorities laid out for digital transformation, operational efficiency, competitiveness, and value creation through data in the Saudi Vision 2030 program. Design/methodology/approach: The study applies a systematic narrative review approach to literature and standards-related sources from 2020 to 2025, together with conceptual synthesis informed by SAP transformation practice. It follows the format of the attached SAP transformation paper by connecting the problem statement, review findings, research methodology, conceptual development of the framework, and practical implications thereof. Findings: According to the review, the SAP decision support based on AI is most beneficial if predictive analytics, business intelligence, automation, generative AI, master data governance and human accountability work as an integrated decision-making structure. Practical implications: The enterprises in Saudi Arabia could utilize the suggested governance framework for improving planning, supply chain management, reliability, finance, governance, and decision-making speeds while addressing the cybersecurity issues, bias, data quality and risk of adoption. Originality/Value: This paper contributes an AI decision support governance framework that combines enterprise architecture and SAP transformations with Vision 2030 objectives.