{"id":125150,"date":"2026-09-15T22:31:20","date_gmt":"2026-09-15T19:31:20","guid":{"rendered":"https:\/\/www.makkahalyoum.com\/?p=125150"},"modified":"2026-09-15T22:31:20","modified_gmt":"2026-09-15T19:31:20","slug":"organizations-with-trustworthy-ai-practices-are-15-times-more-likely-to-see-strong-roi-per-study-findings","status":"publish","type":"post","link":"https:\/\/www.makkahalyoum.com\/?p=125150","title":{"rendered":"Organizations with trustworthy AI practices are 15 times more likely to see strong ROI, per study findings"},"content":{"rendered":"[mhc_section admin_label=&#8221;\u0642\u0633\u0645&#8221; fullwidth=&#8221;on&#8221; specialty=&#8221;off&#8221;][mhc_fullwidth_menu admin_label=&#8221;\u0642\u0627\u0626\u0645\u0629 \u0628\u0639\u0631\u0636 \u0643\u0627\u0645\u0644&#8221; menu_id=&#8221;56&#8243; background_color=&#8221;#ffffff&#8221; background_layout=&#8221;light&#8221; text_orientation=&#8221;center&#8221; submenu_direction=&#8221;downwards&#8221; fullwidth_menu=&#8221;off&#8221;] [\/mhc_fullwidth_menu][\/mhc_section][mhc_section admin_label=&#8221;section&#8221; 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background_layout=&#8221;light&#8221; text_orientation=&#8221;left&#8221; animation=&#8221;off&#8221;]\n<p dir=\"ltr\" style=\"direction: ltr;\">Employees override AI they don&#8217;t understand, and it\u2019s challenging organizations seeking AI return<\/p>\n<ul dir=\"ltr\">\n<li style=\"direction: ltr;\">The number one reason employees override AI in the field? When AI can&#8217;t explain a decision it\u2019s made.<\/li>\n<li style=\"direction: ltr;\">Most organizations still lack the data foundation needed to make AI trustworthy and profitable.<\/li>\n<li style=\"direction: ltr;\">Saudi Arabia records one of the study\u2019s largest gains in AI trustworthiness, with its Trustworthiness Index rising 24.5 points in 2026.<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>\u00a0<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>Ain Alalam &#8211; Rashad Iskandrni<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>\u00a0(Sept. 15, 2026)<\/strong> \u2013 A new SAS report with research insights by IDC uncovers what\u2019s powering the organizations winning the race to profit from their AI investments: embracing trustworthy AI measures. Organizations applying trustworthy AI practices were 15 times more likely to report strong return on investment (ROI) from their AI projects.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">As identified in the second annual\u00a0<a href=\"https:\/\/www.sas.com\/en_us\/gc\/data-and-ai-impact-report.html\"><strong><em>Data and AI Impact Report: The New Economics of Trust<\/em><\/strong><\/a><a href=\"https:\/\/www.sas.com\/en_us\/gc\/data-and-ai-impact-report.html\"><em>,<\/em><\/a>\u00a0organizations with the strongest governance, data quality and auditability practices consistently outperformed peers, reporting at least double the ROI from AI deployments.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">\u201cWhen AI works, it\u2019s incredibly impactful,\u201d said Bryan Harris, CTO at SAS. \u201cHowever,\u00a0it is well documented that state-of-the-art agents can have error\u00a0rates that exceed 25% on complex tasks<u><sup><a href=\"#x_x_x_x_x__ftn1\">[1]<\/a><\/sup><\/u>\u00a0\u2013 which is unacceptable in high-stakes decision-making. In order to achieve accuracy and repeatability, organizations must embed domain expertise into agentic workflows, while keeping people at the center of governance and oversight. Organizations that do this successfully will close the trust gap and gain a competitive advantage in the market with AI.\u201d<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">\u201cAs AI becomes more autonomous, organizations face a new challenge: maintaining confidence in systems people don&#8217;t fully understand,\u201d said Chris Marshall, Vice President at IDC. \u201cOur findings show that stronger oversight, explainability, accountability and data foundations are becoming prerequisites for scaling AI successfully.\u201d<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-125145 size-thumbnail\" src=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-750x750.jpeg\" alt=\"\" width=\"750\" height=\"750\" srcset=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-750x750.jpeg 750w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-1024x1024.jpeg 1024w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-768x768.jpeg 768w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-80x80.jpeg 80w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2-1080x1080.jpeg 1080w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-2.jpeg 1200w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-125146 size-thumbnail\" src=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-750x750.jpeg\" alt=\"\" width=\"750\" height=\"750\" srcset=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-750x750.jpeg 750w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-1024x1024.jpeg 1024w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-768x768.jpeg 768w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-80x80.jpeg 80w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1-1080x1080.jpeg 1080w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1.jpeg 1200w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-125147 size-thumbnail\" src=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-750x750.jpeg\" alt=\"\" width=\"750\" height=\"750\" srcset=\"https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-750x750.jpeg 750w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1024x1024.jpeg 1024w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-768x768.jpeg 768w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-80x80.jpeg 80w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM-1080x1080.jpeg 1080w, https:\/\/www.makkahalyoum.com\/wp-content\/uploads\/2026\/09\/WhatsApp-Image-2026-09-15-at-9.57.41-PM.jpeg 1200w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">Local findings point to rapid progress in AI governance, with Saudi Arabia\u2019s Trustworthiness Index climbing 24.5 points to 63.5 in 2026. The country recorded the fastest governance gains in the study, driven by rapid improvement in formal governance frameworks.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\u201cThis progress reflects how quickly organizations in Saudi Arabia are strengthening the governance and accountability needed to support their AI ambitions, The driver is rapid, deliberate improvement of formal governance frameworks powered by Vision 2030 as a national objective.\u201d said<strong> Asad Makki, Country Representative, Saudi Arabia, SAS<\/strong>. \u201cAs AI becomes more autonomous, strengthening explainability and oversight will be critical to scaling adoption with confidence and translating innovation into sustainable value.\u201d<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">The report\u2019s findings span three themes:<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p style=\"direction: ltr;\"><strong>AI that can&#8217;t explain itself is a major business liability<\/strong><\/p>\n<p style=\"direction: ltr;\">Researchers found that employees are increasingly hesitant to rely on systems that cannot provide correct outputs or explain how decisions were reached. As AI gains autonomy, explainability becomes increasingly important.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">The report also explored a major hurdle to success in AI adoption: when employees&#8217; lack of trust in AI decisions leads them to override and make manual corrections. This only perpetuates the AI trustworthiness deficit, and can cost organizations time, productivity and profitability. When AI decision-making is only as good as the data it\u2019s based on, building a strong data foundation becomes pivotal for organizations looking to reduce override rates.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Key findings:<\/p>\n<ul dir=\"ltr\">\n<li style=\"direction: ltr;\">97.2% of users override AI-generated recommendations in at least some cases.<\/li>\n<li style=\"direction: ltr;\">The number one reason employees decided to override AI, regardless of whether its output was considered correct, was when the AI could not provide an explanation behind its decision.<\/li>\n<li style=\"direction: ltr;\">Trust falls from 76% for generative AI to 66% for agentic AI, highlighting growing concerns as AI systems gain more autonomy.<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>\u00a0<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">This challenge is particularly evident in Saudi Arabia, where insufficient explanation is the leading reason for overriding AI recommendations, cited by 41.8% of respondents.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\u201cAs organizations explore agentic AI, success will depend on putting the right guardrails in place from the start. As AI systems take on greater autonomy, human oversight, explainability and governance become essential to ensuring decisions remain transparent, accountable and aligned with business objectives. Organizations that establish these foundations early will be better positioned to scale innovation with confidence.\u201dMakki concludes.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>Trustworthy AI practices drive business success<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">The report exposes a widening ROI divide suggesting organizations gaining the most value from AI are not necessarily deploying different technologies but managing AI differently.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Key findings:<\/p>\n<ul dir=\"ltr\">\n<li style=\"direction: ltr;\">Organizations investing in trustworthy AI measures are\u00a015 times more likely to report strong or high ROI\u00a0on their AI projects (62% vs. 4%).<\/li>\n<li style=\"direction: ltr;\">Organizations with the strongest trustworthy AI practices realize\u00a01.85 times greater gains\u00a0across 13 different business outcomes, including revenue growth, cost savings and customer experience.<\/li>\n<li style=\"direction: ltr;\">85% of these AI leaders with trustworthy practices are increasing their investment in this area by more than 10% this year, actively widening the performance gap.<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>\u00a0<\/strong><\/p>\n<p style=\"direction: ltr;\"><strong>Too many organizations are losing time and money to weak data foundations<\/strong><\/p>\n<p style=\"direction: ltr;\">Most organizations are deploying AI on severely underdeveloped or outdated data and data infrastructure, limiting their ability to govern AI effectively and realize value.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Key findings:<\/p>\n<ul dir=\"ltr\">\n<li style=\"direction: ltr;\">Only\u00a017.5% of enterprises have a fully optimized data infrastructure\u00a0mature enough for the demands of agentic AI, which negatively impacts performance.<\/li>\n<li style=\"direction: ltr;\">Organizations with an optimized data foundation are four times more likely to expect strong ROI from AI projects, and six times more likely to mandate the data quality and explainability controls necessary to build trust.<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Strategic Alignment &amp; Governance has emerged as a leading reliability priority among Saudi organizations, rising 35 points to 50.7% in 2026. Yet only 3% mandate data-quality processes for every AI project and 6% mandate explainability, highlighting a gap between rapidly advancing governance and consistent implementation of foundational controls.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>Take a deeper dive<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">The findings are based on a global survey of 2,699 decision-makers across 28 countries and four focus industries: banking, insurance, life sciences and the public sector. In Saudi Arabia, the findings draw on responses from 100 decision-makers surveyed in June 2025 and 67 surveyed in April 2026.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Key findings:<\/p>\n<ul dir=\"ltr\">\n<li style=\"direction: ltr;\">Banking leaders are going beyond compliance, treating robust AI governance as a competitive advantage and operational necessity \u2013 85% of AI leader banks have established governance frameworks, compared to just 29% of laggards.<\/li>\n<li style=\"direction: ltr;\">Forty-one percent of public sector leaders are increasing trustworthy AI investment by more than 20% in the year ahead, which is as fast as the most ambitious organizations across any industry.<\/li>\n<li style=\"direction: ltr;\">23% of life sciences organizations have scaled AI company-wide \u2013 the highest of any industry.<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>\u00a0<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">Explore study findings and access the full report at\u00a0<strong>sas.com\/ai-impact<\/strong>.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>What makes AI trustworthy?<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\"><a href=\"https:\/\/www.sas.com\/en_us\/insights\/articles\/analytics\/trustworthy-ai--how-to-move-from-ambition-to-roi.html\">Trustworthy AI\u00a0\u00a0<\/a>is artificial intelligence designed to be reliable, fair, secure, up to regulatory standards, and able to clearly show how it arrived at a decision. Users and decision-makers at all levels within an organization must be able to hold an AI system to a pre-determined chain of accountability for incorrect or missing AI output. Any AI system must also be governed and proven to be in compliance with clear rules.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\"><strong>What makes an organization a trustworthy AI leader?<\/strong><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">Within the study, organizations were scored out of 100 against five dimensions of trustworthy AI. The report\u2019s trustworthy AI leaders were organizations with an average total score of 80 or higher.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">Each organization was scored across the following five trustworthy AI criteria.<\/p>\n<ol dir=\"ltr\">\n<li style=\"direction: ltr;\">Data quality and governance.<\/li>\n<li style=\"direction: ltr;\">Model governance and oversight.<\/li>\n<li style=\"direction: ltr;\">Explainability and fairness.<\/li>\n<li style=\"direction: ltr;\">Responsible AI policy.<\/li>\n<li style=\"direction: ltr;\">Audit and accountability.<\/li>\n<\/ol>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\"><u><a href=\"http:\/\/www.sas.com\/about\">About SAS<\/a><\/u><\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">SAS is a global leader in data and AI, helping organizations make confident decisions with AI they can trust. For decades, SAS has set the standard for delivering software that drives meaningful impact, incorporating deep industry expertise, transparency, and governance. SAS gives you THE POWER TO KNOW<sup>\u00ae<\/sup>.<\/p>\n<p dir=\"ltr\" style=\"direction: ltr;\">\n<p dir=\"ltr\" style=\"direction: ltr;\"><em>SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. \u00ae indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright \u00a9 2026 SAS Institute Inc. 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