{"id":350233,"date":"2025-11-24T11:01:50","date_gmt":"2025-11-24T11:01:50","guid":{"rendered":"https:\/\/new.kaizen.sa\/?p=350233"},"modified":"2026-04-05T09:44:30","modified_gmt":"2026-04-05T09:44:30","slug":"from-data-to-decisions-unlocking-value-through-governance-analytics-insight-driven-transformation","status":"publish","type":"post","link":"https:\/\/kaizen.sa\/en\/from-data-to-decisions-unlocking-value-through-governance-analytics-insight-driven-transformation\/","title":{"rendered":"The National AII in the Kingdom of Saudi Arabia"},"content":{"rendered":"\n

Summary<\/strong><\/h2>\n\n\n\n

The launch of the National Artificial Intelligence Index<\/strong> (NAII) in Saudi Arabia represents a strategic milestone reflecting the maturity of the national vision and the government\u2019s determination to accelerate the transition toward a knowledge- and innovation-driven economy. Led by the Saudi Data and Artificial Intelligence Authority (SDAIA)<\/strong>, the initiative is more than a measurement tool; it is a national compass that organises, directs, and aligns government efforts to adopt AI technologies in line with the ambitions of Vision 2030<\/strong> (SDAIA, 2025).<\/p>\n\n\n\n

Framework and Structure of the Index<\/strong><\/h2>\n\n\n\n

Core Dimensions<\/strong><\/p>\n\n\n\n

At its core, the index is built on a comprehensive and unified framework<\/strong> for assessing governmental readiness and maturity in adopting AI solutions. It moves beyond superficial evaluation to diagnose institutional capabilities through a robust structure composed of three main pillars:<\/p>\n\n\n\n

    \n
  • Orientations<\/strong> \u2013 covering strategy and governance.<\/li>\n\n\n\n
  • Enablers<\/strong> \u2013 including data, infrastructure, and human capabilities.<\/li>\n\n\n\n
  • Outcomes<\/strong> \u2013 measuring actual applications and tangible impact.<\/li>\n<\/ul>\n\n\n\n

    These pillars branch into seven main themes<\/strong> and 23 sub-domains<\/strong>, assessed through 26 precise questions<\/strong> supported by over 480 evidential indicators<\/strong>. This design ensures depth and inclusiveness, offering not only a measurement of each entity\u2019s digital maturity but also practical recommendations and tailored development plans<\/strong> to strengthen performance and close improvement gaps (SDAIA, 2025).<\/p>\n\n\n\n

    Strategic Significance and Economic Impact<\/strong><\/h2>\n\n\n\n

    The NAII is closely tied to the objectives of Vision 2030<\/strong>, with 66 out of 96 goals<\/strong> directly or indirectly linked to data and AI. This underscores AI\u2019s centrality to the Kingdom\u2019s future development. According to PricewaterhouseCoopers (PwC, 2019)<\/strong>, AI is projected to contribute around $135.2 billion<\/strong> to Saudi Arabia\u2019s GDP by 2030, approximately 12.4 per cent<\/strong> of its economy.<\/p>\n\n\n\n

    Title<\/td>Title<\/td>Title<\/td><\/tr>
    <\/td><\/td><\/td><\/tr>
    <\/td><\/td><\/td><\/tr>
    <\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    The Index acts as both a catalyst and regulator<\/strong> for this growth, guiding public entities to adopt innovative AI solutions that improve operational efficiency, enhance service quality, boost productivity, and create a sustainable competitive advantage<\/strong>. Moreover, it establishes a clear governance framework<\/strong> balancing innovation with ethical responsibility, reinforcing trust in emerging technologies and supporting the Kingdom\u2019s aspiration to become a global AI leader<\/strong> (PwC, 2019; Vision 2030, n.d.).<\/p>\n\n\n\n

    Measurement Mechanism and Maturity Levels<\/strong><\/h2>\n\n\n\n

    The Index applies a three-stage assessment process<\/strong>:<\/p>\n\n\n\n

      \n
    • Awareness workshops<\/strong> for government entities.<\/li>\n\n\n\n
    • Comprehensive questionnaires<\/strong> supported by documentary evidence.<\/li>\n\n\n\n
    • Data analysis and validation.<\/strong><\/li>\n<\/ul>\n\n\n\n

      Based on results, entities are classified across six maturity levels<\/strong>:<\/p>\n\n\n\n

        \n
      • 0 \u2013 Absence of capabilities<\/li>\n\n\n\n
      • 1 \u2013 Building<\/li>\n\n\n\n
      • 2 \u2013 Activation<\/li>\n\n\n\n
      • 3 \u2013 Competence<\/li>\n\n\n\n
      • 4 \u2013 Excellence<\/li>\n<\/ul>\n\n\n\n
        \"\"<\/figure>\n\n\n\n

        This classification is not a final judgment but a starting point for continuous development<\/strong>, providing each entity with a precise understanding of its current state and a roadmap for advancing capabilities (SDAIA, 2025).<\/p>\n\n\n\n

        Analytical Insights: AI as a Strategic Necessity<\/strong><\/h2>\n\n\n\n

        Kaizen AI is no longer optional; it is a strategic necessity<\/strong>. The Index calls for aligning plans and initiatives with national directions, transitioning from limited experimental projects to a systematic adoption<\/strong> of AI within operations and services.<\/p>\n\n\n\n

        The key challenges include:<\/p>\n\n\n\n

          \n
        • Data quality and governance<\/strong>,<\/li>\n\n\n\n
        • Skills gaps<\/strong>, and<\/li>\n\n\n\n
        • Robust, flexible infrastructure<\/strong>.<\/li>\n<\/ul>\n\n\n\n

          By measuring these aspects, the Index offers a scientific basis<\/strong> for investment prioritisation, capacity-building programs, and regulatory policy design that accelerates innovation while ensuring responsible and secure AI use<\/strong> (OECD, 2023).<\/p>\n\n\n\n

          Governance, Ethics, and Organisational Integration<\/strong><\/h2>\n\n\n\n

          The Index highlights that data quality determines AI quality. It recommends investing in advanced data infrastructure covering collection, cleaning, standardisation, and secure, accessible storage.<\/p>\n\n\n\n

          A mature data culture should treat information as a strategic asset<\/strong>, governed by rigorous standards of accuracy, completeness, and consistency. It must include source documentation<\/strong>, usage rights<\/strong>, and data-sharing mechanisms<\/strong> across entities to break silos and foster integrated, high-impact solutions.<\/p>\n\n\n\n

          Enhancing advanced analytics<\/strong> and machine learning<\/strong> capabilities is also essential for extracting actionable insights that support decision-making and improve services (World Bank, 2024).<\/p>\n\n\n\n

          Technological Infrastructure and Operational Resilience<\/strong><\/h2>\n\n\n\n

          The Index sets benchmarks for computing, network, and storage capabilities<\/strong> necessary to support AI applications, especially generative and agentic AI models<\/strong>. Entities are encouraged to:<\/p>\n\n\n\n

            \n
          • Invest in high-performance servers<\/strong> with GPUs<\/strong>, or<\/li>\n\n\n\n
          • Utilise flexible cloud computing<\/strong> aligned with national platforms and standards.<\/li>\n<\/ul>\n\n\n\n

            It also mandates provisions for operational resilience<\/strong>, including service continuity<\/strong>, backup and disaster recovery<\/strong>, and proactive monitoring systems<\/strong> that ensure annual availability exceeding 99.5 per cent<\/strong> (ISO, 2023).<\/p>\n\n\n\n

            Human Capital: The Cornerstone of AI Maturity<\/strong><\/h2>\n\n\n\n

            stresses building specialised capabilities through integrated strategies that:<\/p>\n\n\n\n

              \n
            • Attract talent via competitive employment programs.<\/li>\n\n\n\n
            • Foster partnerships with universities and institutes to develop national competencies<\/strong>.<\/li>\n\n\n\n
            • Invest in advanced professional development<\/strong> aligned with the National Qualifications Framework<\/strong>.<\/li>\n\n\n\n
            • Create innovation-friendly workplaces<\/strong> that encourage experimentation and career growth.<\/li>\n<\/ul>\n\n\n\n

              These measures aim to ensure stability, reduce talent attrition, and embed innovation within institutional culture (World Economic Forum, 2022).<\/p>\n\n\n\n

              Benchmarking and Continuous Improvement<\/strong><\/h2>\n\n\n\n

              The Index also provides a benchmarking mechanism<\/strong>, enabling entities to compare their standing nationally and internationally<\/strong>. This fosters mutual learning<\/strong>, accelerates collective progress<\/strong>, and enhances the overall maturity<\/strong> of the national AI ecosystem.<\/p>\n\n\n\n

              Through periodic measurement cycles<\/strong>, the Index supports progress tracking, evaluates initiative effectiveness, and cultivates a results-based improvement culture<\/strong>. Thus, it becomes a comprehensive enabler<\/strong> accompanying entities throughout their digital maturity journey, from foundational readiness to advanced integration and innovation leadership (SDAIA, 2025).<\/p>\n\n\n\n

              Transparency, Accountability, and Policy Alignment<\/strong><\/h2>\n\n\n\n

              By setting unified performance standards linked to institutional KPIs<\/strong>, the Index reinforces transparency and accountability<\/strong> in government performance. Publishing results gives policymakers, researchers, and the public a realistic understanding of AI adoption levels<\/strong>, supporting data-driven decision-making<\/strong> (Transparency International, 2024).<\/p>\n\n\n\n

              Closing<\/strong><\/h2>\n\n\n\n

              The National Artificial Intelligence Index<\/strong> acts as a beacon illuminating Saudi Arabia\u2019s digital future<\/strong>. It guides entities toward excellence, warns of pitfalls, and highlights optimal pathways. However, its effectiveness depends on leadership will, sustained investment, and the courage to innovate responsibly<\/strong>.<\/p>\n\n\n\n

              Entities that engage seriously and invest in capability development will deliver better services<\/strong>, enhanced efficiency<\/strong>, and contribute to a diversified, knowledge-based economy<\/strong>. Those who treat the Index superficially risk falling behind.<\/p>\n\n\n\n

              Ultimately, the Index transcends evaluation; it embodies an integrated strategic philosophy<\/strong> for building a promising digital future for the Kingdom, providing a common language and unified framework<\/strong> to accelerate AI adoption and transform ambition into measurable achievement.<\/p>\n\n\n\n

              References<\/strong><\/h2>\n\n\n\n
                \n
              • ISO (2023) ISO\/IEC 27001:2022 \u2013 Information security, cybersecurity and privacy protection<\/em>. Geneva: International Organization for Standardization.<\/li>\n\n\n\n
              • OECD (2023) Artificial Intelligence Policy Observatory: AI governance and national strategies<\/em>. Paris: OECD Publishing. Available at: https:\/\/oecd.ai (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
              • PricewaterhouseCoopers (PwC) (2019) The macroeconomic impact of artificial intelligence on the Middle East<\/em>. Available at: https:\/\/www.pwc.com\/me\/aiimpact (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
              • Saudi Data and Artificial Intelligence Authority (SDAIA) (2025) National Artificial Intelligence Index Framework<\/em>. Riyadh: SDAIA.<\/li>\n\n\n\n
              • Transparency International (2024). AI accountability and transparency in public governance<\/em>. Berlin: Transparency International.<\/li>\n\n\n\n
              • UNESCO (2021) Recommendation on the Ethics of Artificial Intelligence<\/em>. Paris: UNESCO. https:\/\/doi.org\/10.54675\/unesco.ai.ethics.2021<\/li>\n\n\n\n
              • Vision 2030 (n.d.) Saudi Vision 2030<\/em>. Available at: https:\/\/www.vision2030.gov.sa (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
              • World Bank (2024). Data governance for digital transformation: Global practices and lessons learned<\/em>. Washington, DC: World Bank. https:\/\/doi.org\/10.1596\/978-1-4648-XXXX-X<\/li>\n\n\n\n
              • World Economic Forum (2022). The future of jobs report 2022<\/em>. Geneva: WEF. Available at: https:\/\/www.weforum.org\/reports\/the-future-of-jobs-2022 (Accessed: 12 Nov 2025).<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                Summary The launch of the National Artificial Intelligence Index (NAII) in Saudi Arabia represents a strategic milestone reflecting the maturity of the national vision and the government\u2019s determination to accelerate the transition toward a knowledge- and innovation-driven economy. Led by the Saudi Data and Artificial Intelligence Authority (SDAIA), the initiative is more than a measurement […]<\/p>\n","protected":false},"author":22,"featured_media":354069,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"\n

                By Professor Ibrahim Al-Jarrah, Head of Artificial Intelligence Sector<\/p>\n\n\n\n

                On October 27, 2025<\/p>\n\n\n\n

                Summary<\/strong><\/h2>\n\n\n\n

                The launch of the National Artificial Intelligence Index<\/strong> (NAII) in Saudi Arabia represents a strategic milestone reflecting the maturity of the national vision and the government\u2019s determination to accelerate the transition toward a knowledge- and innovation-driven economy. Led by the Saudi Data and Artificial Intelligence Authority (SDAIA)<\/strong>, the initiative is more than a measurement tool, it is a national compass<\/strong> that organizes, directs, and aligns government efforts to adopt AI technologies in line with the ambitions of Vision 2030<\/strong> (SDAIA, 2025).<\/p>\n\n\n\n

                Framework and Structure of the Index<\/strong><\/h2>\n\n\n\n

                Core Dimensions<\/strong><\/p>\n\n\n\n

                At its core, the index is built on a comprehensive and unified framework<\/strong> for assessing governmental readiness and maturity in adopting AI solutions. It moves beyond superficial evaluation to diagnose institutional capabilities through a robust structure composed of three main pillars:<\/p>\n\n\n\n

                  \n
                • Orientations<\/strong> \u2013 covering strategy and governance.<\/li>\n\n\n\n
                • Enablers<\/strong> \u2013 including data, infrastructure, and human capabilities.<\/li>\n\n\n\n
                • Outcomes<\/strong> \u2013 measuring actual applications and tangible impact.<\/li>\n<\/ul>\n\n\n\n

                  These pillars branch into seven main themes<\/strong> and 23 sub-domains<\/strong>, assessed through 26 precise questions<\/strong> supported by over 480 evidential indicators<\/strong>. This design ensures depth and inclusiveness, offering not only a measurement of each entity\u2019s digital maturity but also practical recommendations and tailored development plans<\/strong> to strengthen performance and close improvement gaps (SDAIA, 2025).<\/p>\n\n\n\n

                  Strategic Significance and Economic Impact<\/strong><\/h2>\n\n\n\n

                  The NAII is closely tied to the objectives of Vision 2030<\/strong>, with 66 out of 96 goals<\/strong> directly or indirectly linked to data and AI. This underscores AI\u2019s centrality to the Kingdom\u2019s future development. According to PricewaterhouseCoopers (PwC, 2019)<\/strong>, AI is projected to contribute around $135.2 billion<\/strong> to Saudi Arabia\u2019s GDP by 2030, approximately 12.4 percent<\/strong> of its economy.<\/p>\n\n\n\n

                  The Index acts as both a catalyst and regulator<\/strong> for this growth, guiding public entities to adopt innovative AI solutions that improve operational efficiency, enhance service quality, boost productivity, and create a sustainable competitive advantage<\/strong>. Moreover, it establishes a clear governance framework<\/strong> balancing innovation with ethical responsibility, reinforcing trust in emerging technologies and supporting the Kingdom\u2019s aspiration to become a global AI leader<\/strong> (PwC, 2019; Vision 2030, n.d.).<\/p>\n\n\n\n

                  Measurement Mechanism and Maturity Levels<\/strong><\/h2>\n\n\n\n

                  The Index applies a three-stage assessment process<\/strong>:<\/p>\n\n\n\n

                    \n
                  • Awareness workshops<\/strong> for government entities.<\/li>\n\n\n\n
                  • Comprehensive questionnaires<\/strong> supported by documentary evidence.<\/li>\n\n\n\n
                  • Data analysis and validation.<\/strong><\/li>\n<\/ul>\n\n\n\n

                    Based on results, entities are classified across six maturity levels<\/strong>:<\/p>\n\n\n\n

                      \n
                    • 0 \u2013 Absence of capabilities<\/li>\n\n\n\n
                    • 1 \u2013 Building<\/li>\n\n\n\n
                    • 2 \u2013 Activation<\/li>\n\n\n\n
                    • 3 \u2013 Competence<\/li>\n\n\n\n
                    • 4 \u2013 Excellence<\/li>\n<\/ul>\n\n\n\n
                      \"\"<\/figure>\n\n\n\n

                      This classification is not a final judgment but a starting point for continuous development<\/strong>, providing each entity with a precise understanding of its current state and a roadmap for advancing capabilities (SDAIA, 2025).<\/p>\n\n\n\n

                      Analytical Insights: AI as a Strategic Necessity<\/strong><\/h2>\n\n\n\n

                      Kaizen AI is no longer optional, it is a strategic necessity<\/strong>. The Index calls for aligning plans and initiatives with national directions, transitioning from limited experimental projects to a systematic adoption<\/strong> of AI within operations and services.<\/p>\n\n\n\n

                      The key challenges include:<\/p>\n\n\n\n

                        \n
                      • Data quality and governance<\/strong>,<\/li>\n\n\n\n
                      • Skills gaps<\/strong>, and<\/li>\n\n\n\n
                      • Robust, flexible infrastructure<\/strong>.<\/li>\n<\/ul>\n\n\n\n

                        By measuring these aspects, the Index offers a scientific basis<\/strong> for investment prioritization, capacity-building programs, and regulatory policy design that accelerates innovation while ensuring responsible and secure AI use<\/strong> (OECD, 2023).<\/p>\n\n\n\n

                        Governance, Ethics, and Organizational Integration<\/strong><\/h2>\n\n\n\n

                        With The Index highlights that data quality determines AI quality<\/strong>. It recommends investing in advanced data infrastructure<\/strong> covering collection, cleaning, standardization, and secure, accessible storage.<\/p>\n\n\n\n

                        A mature data culture should treat information as a strategic asset<\/strong>, governed by rigorous standards of accuracy, completeness, and consistency. It must include source documentation<\/strong>, usage rights<\/strong>, and data-sharing mechanisms<\/strong> across entities to break silos and foster integrated, high-impact solutions.<\/p>\n\n\n\n

                        Enhancing advanced analytics<\/strong> and machine learning<\/strong> capabilities is also essential for extracting actionable insights that support decision-making and improve services (World Bank, 2024).<\/p>\n\n\n\n

                        Technological Infrastructure and Operational Resilience<\/strong><\/h2>\n\n\n\n

                        DaThe Index sets benchmarks for computing, network, and storage capabilities<\/strong> necessary to support AI applications, especially generative and agentic AI models<\/strong>. Entities are encouraged to:<\/p>\n\n\n\n

                          \n
                        • Invest in high-performance servers<\/strong> with GPUs<\/strong>, or<\/li>\n\n\n\n
                        • Utilize flexible cloud computing<\/strong> aligned with national platforms and standards.<\/li>\n<\/ul>\n\n\n\n

                          It also mandates provisions for operational resilience<\/strong>, including service continuity<\/strong>, backup and disaster recovery<\/strong>, and proactive monitoring systems<\/strong> that ensure annual availability exceeding 99.5 percent<\/strong> (ISO, 2023).<\/p>\n\n\n\n

                          Human Capital: The Cornerstone of AI Maturity<\/strong><\/h2>\n\n\n\n

                          stresses building specialized capabilities through integrated strategies that:<\/p>\n\n\n\n

                            \n
                          • Attract talent via competitive employment programs.<\/li>\n\n\n\n
                          • Foster partnerships with universities and institutes to develop national competencies<\/strong>.<\/li>\n\n\n\n
                          • Invest in advanced professional development<\/strong> aligned with the National Qualifications Framework<\/strong>.<\/li>\n\n\n\n
                          • Create innovation-friendly workplaces<\/strong> that encourage experimentation and career growth.<\/li>\n<\/ul>\n\n\n\n

                            These measures aim to ensure stability, reduce talent attrition, and embed innovation within institutional culture (World Economic Forum, 2022).<\/p>\n\n\n\n

                            Benchmarking and Continuous Improvement<\/strong><\/h2>\n\n\n\n

                            The Index also provides a benchmarking mechanism<\/strong>, enabling entities to compare their standing nationally and internationally<\/strong>. This fosters mutual learning<\/strong>, accelerates collective progress<\/strong>, and enhances the overall maturity<\/strong> of the national AI ecosystem.<\/p>\n\n\n\n

                            Through periodic measurement cycles<\/strong>, the Index supports progress tracking, evaluates initiative effectiveness, and cultivates a results-based improvement culture<\/strong>. Thus, it becomes a comprehensive enabler<\/strong> accompanying entities throughout their digital maturity journey, from foundational readiness to advanced integration and innovation leadership (SDAIA, 2025).<\/p>\n\n\n\n

                            Transparency, Accountability, and Policy Alignment<\/strong><\/h2>\n\n\n\n

                            By setting unified performance standards linked to institutional KPIs<\/strong>, the Index reinforces transparency and accountability<\/strong> in government performance. Publishing results gives policymakers, researchers, and the public a realistic understanding of AI adoption levels<\/strong>, supporting data-driven decision-making<\/strong> (Transparency International, 2024).<\/p>\n\n\n\n

                            Closing<\/strong><\/h2>\n\n\n\n

                            The National Artificial Intelligence Index<\/strong> acts as a beacon illuminating Saudi Arabia\u2019s digital future<\/strong>. It guides entities toward excellence, warns of pitfalls, and highlights optimal pathways. However, its effectiveness depends on leadership will, sustained investment, and the courage to innovate responsibly<\/strong>.<\/p>\n\n\n\n

                            Entities that engage seriously and invest in capability development will deliver better services<\/strong>, enhanced efficiency<\/strong>, and contribute to a diversified, knowledge-based economy<\/strong>. Those that treat the Index superficially risk falling behind.<\/p>\n\n\n\n

                            Ultimately, the Index transcends evaluation, it embodies an integrated strategic philosophy<\/strong> for building a promising digital future for the Kingdom, providing a common language and unified framework<\/strong> to accelerate AI adoption and transform ambition into measurable achievement.<\/p>\n\n\n\n

                            References<\/strong><\/h2>\n\n\n\n
                              \n
                            • ISO (2023) ISO\/IEC 27001:2022 \u2013 Information security, cybersecurity and privacy protection<\/em>. Geneva: International Organization for Standardization.<\/li>\n\n\n\n
                            • OECD (2023) Artificial Intelligence Policy Observatory: AI governance and national strategies<\/em>. Paris: OECD Publishing. Available at: https:\/\/oecd.ai (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
                            • PricewaterhouseCoopers (PwC) (2019) The macroeconomic impact of artificial intelligence on the Middle East<\/em>. Available at: https:\/\/www.pwc.com\/me\/aiimpact (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
                            • Saudi Data and Artificial Intelligence Authority (SDAIA) (2025) National Artificial Intelligence Index Framework<\/em>. Riyadh: SDAIA.<\/li>\n\n\n\n
                            • Transparency International (2024) AI accountability and transparency in public governance<\/em>. Berlin: Transparency International.<\/li>\n\n\n\n
                            • UNESCO (2021) Recommendation on the Ethics of Artificial Intelligence<\/em>. Paris: UNESCO. https:\/\/doi.org\/10.54675\/unesco.ai.ethics.2021<\/li>\n\n\n\n
                            • Vision 2030 (n.d.) Saudi Vision 2030<\/em>. Available at: https:\/\/www.vision2030.gov.sa (Accessed: 12 Nov 2025).<\/li>\n\n\n\n
                            • World Bank (2024) Data governance for digital transformation: Global practices and lessons learned<\/em>. Washington DC: World Bank. https:\/\/doi.org\/10.1596\/978-1-4648-XXXX-X<\/li>\n\n\n\n
                            • World Economic Forum (2022) The future of jobs report 2022<\/em>. Geneva: WEF. Available at: https:\/\/www.weforum.org\/reports\/the-future-of-jobs-2022 (Accessed: 12 Nov 2025).<\/li>\n<\/ul>\n","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[287],"tags":[312],"class_list":["post-350233","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-framework-overview-report","tag-articles"],"_links":{"self":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/posts\/350233","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/comments?post=350233"}],"version-history":[{"count":10,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/posts\/350233\/revisions"}],"predecessor-version":[{"id":351620,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/posts\/350233\/revisions\/351620"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/media\/354069"}],"wp:attachment":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/media?parent=350233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/categories?post=350233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/tags?post=350233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}