The data on AI governance is in. Here's what it means for your enterprise.

Enterprises are accelerating AI investment, but governance isn’t keeping pace. The result is stalled deployments, increased risk and AI programs that consume resources without delivering measurable outcomes.

This report, “Gartner® Data Intelligence Monthly-Executive Insights on AI Governance,” draws on proprietary surveys and peer insights to show where governance is falling short, what it costs and what the organizations achieving high-impact results are doing differently. The findings give data and analytics leaders a concrete foundation for structuring and operationalizing AI governance programs that drive measurable ROI.

Read the latest findings to learn:

•  Why 60% of organizations are on track to fail to realize AI value by 2027, and the key factors driving that gap 
•  How organizations with integrated AI governance achieve 3x–3.8x stronger outcomes 
•  What agentic AI demands from governance, and why many current structures aren’t built to support it 
•  A practical framework for building AI governance that accelerates execution rather than slowing it down

Rackspace and Amazon Web Services: Governance that works in production

Rackspace works directly with enterprises to operationalize AI governance on AWS, embedding controls, compliance guardrails and risk management into the architecture from the start. With more than 2,700 AWS certifications across 19 AWS competencies (including Generative AI) and recognition as a Leader in AWS Enterprise Data Modernization and AI Services by ISG, we bring the depth and validated expertise you need to move from governance strategy to production. As an AWS Generative AI Competency launch partner, we work with organizations at every stage of the AI journey.

Access the Gartner® research today to learn what effective AI governance looks like in practice.