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Regular AI System Assessments Triple Likelihood of High GenAI Value, Gartner Survey Finds

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ผลสำรวจ Gartner พบ องค์กรที่ใช้แนวทาง ธรรมาภิบาล AI และประเมินระบบ GenAI อย่างสม่ำเสมอ มีโอกาสสร้างมูลค่าทางธุรกิจสูงขึ้นถึง 3 เท่า พร้อมเปิด 5 แนวทางปฏิบัติสำคัญเพื่อเพิ่มผลตอบแทนจาก Generative AI

Brickinfo News Agency – Organizations that prioritize governance practices, specifically regular audits and assessments of AI system performance and compliance, are significantly more likely to realize substantial business value from their Generative AI (GenAI) initiatives, according to a recent Gartner survey. The survey found that companies conducting these regular checks are over three times more likely to achieve high GenAI value compared to those that do not implement such practices.

The survey, which focused on organizations with at least 250 full-time employees across North America, Europe, and Asia/Pacific (excluding the IT software industry), gathered data from 360 respondents between May and June 2025. The findings highlight a direct link between specific AI governance practices and the reported level of business value derived from GenAI.

Figure 1. Likelihood of Achieving High GenAI Value by Governance Practice (Odds Ratios)

Beyond regular assessments, the survey indicates that organizations that provide tailored guidance, develop AI-specific usage policies, implement governance features, and safely expand GenAI rollouts are also multiple times more likely to report the highest level of business value.

Kjell Carlsson, VP Analyst at Gartner, commented on the relationship between governance and value, stating, “AI governance really is a case of doing well by doing good, but it depends on the specific governance practice. Some just help reduce risk and support legal compliance, while others also boost the value delivered by GenAI initiatives.”

Gartner recommends that organizations focus on five types of governance practices to boost GenAI business value:

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  • Conduct regular assessments of AI systems: Leaders should implement assessment and monitoring processes, and deploy AI governance platforms to streamline assessment, auditing, and remediation. 
  • Provide customized guidance and training for AI users: Leaders must provide targeted training to boost the success of GenAI initiatives. Organizations that offer persona and role-based guidance are two times more likely to report higher levels of value, while those that provide GenAI ethics training are 1.7 times more likely. 
  • Implement AI-specific usage policies: Leaders should implement AI policies that both encourage responsible usage and mitigate the major areas of risk. 
  • Invest in governance features and products: Leaders must advocate for additional investment in governance capabilities for their AI tools and systems. Organizations that invest in third-party AI governance products are 1.9 times more likely to report higher levels of value.
  • Safely expand rollouts of GenAI: Limiting GenAI to low-risk and trusted users is a common, necessary practice, but organizations that can expand their deployments of GenAI beyond these users are 3.3 times more likely to report the highest levels of value from GenAI.