AIAdoptionFramework

Service Quality Enhancement Enhancing the end-user experience is a central focus of intelligent transformation efforts. AI is a powerful tool for enabling higher-quality, personalized, and efficient service delivery. To achieve this type of impact, the following steps are recommended: Analyzing User Behavior to Personalize Services: AI technologies should be employed to analyze user behavior in order to design personalized services that meet individual needs and enhance the quality of the overall experience. Expanding the Scope of AI-Powered Services: The share of AI-supported services should exceed 25% of total services, with priority given to those involving high public interaction to ensure broader impact. ໟ ໟ ໟ AI Adoption Framework Improving Time-Based Performance Indicators:Response and processing times should be reduced by more than 20% by automating manual steps and simplifying procedures using smart tools. Boosting Satisfaction through Proactive and Interactive Systems:Smart proactive and interactive solutions, such as predictive chatbots and intelligent assistants, should be activated to provide imme­ diate support and boost satisfaction and trust among users. Integrating AI Across Multiple Channels: AI should be integrated across all service delivery chan­ nels, websites, mobile apps, and call centers, ensuring seamless and continuous access to smart services through all points of interaction Simplified Practical Example: The entity implements an intelligent recommendation system on its e-services portal, suggesting services to users based on their previous behavior. Result: A 30% increase in service usage and a 22% improvement in processing time. ໟ ໟ AI Adoption Framework 6. Conclusion The AI Adoption Framework represents a strategic step toward enabling entities in the Kingdom of Sau­ di Arabia to embrace this technology in an effective, secure, and sustainable manner. By presenting a comprehensive view of adoption enablers and requirements, including human capabilities, infrastructure, data, enterprise governance, and impact measurement, this framework provides a practical roadmap to help entities transform AI from isolated initiatives into a core enterprise function. Amid the Kingdom’s shift toward a knowledge-based economy, systematic AI adoption is one of the essential enablers for realizing the ambitions of Saudi Vision 2030. This framework emphasizes the im­ portance of aligning technology with regulation and innovation with governance to deliver reliable and im­ pactful outcomes. It underscores that successful digital transformation is not measured solely by deploy­ ing solutions, but by the entity’s readiness to adopt, lead, and align these solutions with national priorities. The Saudi Data & AI Authority (SDAIA) is a key partner in this journey, providing legislative frameworks, building supporting platforms, and developing national indicators for measuring AI maturity. Thus, this framework is not merely a guide, but a foundation for integration, continuous improvement, and collabo­ rative accountability. AI adoption is not an end in itself; it is a means to enhance efficiency, improve quality of life, empower people, and build a more responsive and innovative public sector. Through continued collaboration and coordination among entities, the Kingdom can strengthen its position as a global leader in AI adoption and turn this technology into a powerful driver of inclusive and sustainable development. AI Adoption Framework May 2025 Document Type | Regulatory Documents Document Classification | General Document Number | SDAIA-P121 Version Number | 2