A new global survey from Gartner finds enterprises that regularly audit and assess their Artificial Intelligence systems are more than three times as likely to achieve high business value from generative Artificial Intelligence than those that do not. The research, conducted between May and June 2025, polled 360 business and technology leaders from organizations with at least 250 full‑time employees across North America, Europe and Asia‑Pacific, excluding IT software firms. Kjell Carlsson, VP analyst at Gartner, frames the result as evidence that governance can both manage risk and enhance business impact when applied correctly.
Gartner reports that structured Artificial Intelligence governance frameworks correlate strongly with measurable generative Artificial Intelligence returns. Practices cited include regular system assessments, policy enforcement and targeted, role‑based training. Organizations that provide role‑based training are twice as likely to report strong generative Artificial Intelligence outcomes, while ethics‑focused programs improve odds by about 1.7 times. Companies that allocate budget to third‑party governance products are nearly twice as likely to gain higher value from their generative Artificial Intelligence systems, and those that expand deployments beyond small, low‑risk teams are roughly 3.3 times more likely to achieve significant business value. Gartner recommends dedicated governance platforms to automate assessments, detect bias and model drift early, and support remediation before reputational or regulatory harms escalate.
The article also summarizes practical infrastructure and security considerations for generative Artificial Intelligence. GenAI infrastructure covers the hardware, software and data systems needed for training and deployment, including high‑performance servers, GPUs and accelerators that enable parallel processing. Security depends on layered controls such as data encryption, role‑based access, continuous monitoring and compliance audits. Gartner advises planning scalable, modular architectures and partnering with vendors that offer hybrid cloud integration and flexible compute to meet evolving generative Artificial Intelligence demands. The report’s core message is clear: governance is not merely compliance but an active enabler of sustainable business value from Artificial Intelligence initiatives.
