Organizations that consistently perform audits and assessments of their AI systems for performance and compliance are over three times more likely to achieve high business value from Generative AI (GenAI) compared to those that do not, according to a new survey by Gartner, Inc.
The survey, conducted from May to June 2025, gathered insights from 360 respondents across various industries (excluding IT software) in North America, Europe, and Asia/Pacific, representing organizations with at least 250 full-time employees.
Governance Practices Drive Value, Not Just Risk Reduction
The findings indicate that AI governance is not merely a mechanism for compliance or risk mitigation; specific governance practices are directly linked to boosting the business value delivered by GenAI initiatives.
“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,” said Kjell Carlsson, VP Analyst at Gartner.
Organizations that implement the highest-value governance practices are multiple times more likely to report the highest level of business value from GenAI. For instance:
- Expanding GenAI rollouts safely makes organizations 3.3 times more likely to report the highest levels of value.
- Investing in third-party AI governance products makes organizations 1.9 times more likely to report higher value.
Gartner’s Recommendations to Maximize GenAI Business Value
Gartner recommends that organizations focus on the following five governance practices to maximize GenAI-driven business value:
- Conduct regular assessments of AI systems: Implement assessment and monitoring processes, and deploy AI governance platforms to streamline auditing and remediation.
- Provide customized guidance and training for AI users: Targeted training is crucial. Organizations offering persona- and role-based guidance are two times more likely to report higher value, while those providing GenAI ethics training are 1.7 times more likely.
- Implement AI-specific usage policies: Develop policies that both encourage responsible usage and actively mitigate key areas of risk.
- Invest in governance features and products: Advocate for additional investment in governance capabilities for AI tools.
- Safely expand rollouts of GenAI: While limiting GenAI to low-risk and trusted users is common, safely expanding deployments beyond these initial users is critical to unlocking the highest level of business value.
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