Build AI Governance Programs That Keep Pace with Regulatory Change

Are You Overengineering Your AI Compliance?

Stop wasting resources and start driving value. Discover the Gartner® framework to move from a costly, rigid compliance model to a risk-based approach that accelerates AI deployment.

Many organizations unintentionally design AI compliance programs that are overly complex, expensive, and slow. In response to a rapidly evolving global regulatory landscape and a natural aversion to risk, teams often create operational bottlenecks that delay, or even derail, the business value of AI.

The core assumption is that AI compliance must be exhaustive to be effective. We believe this report from Gartner challenges that idea, offering a smarter path forward.

Download the report to discover how to:

• Implement Risk-Based Model: How to implement a tiered governance framework (Unacceptable, High, Limited Risk) to focus your resources where they matter most.
• Define Your Risk Appetite: A step-by-step guide to articulating your organization's tolerance for AI risk, enabling consistent and faster decision-making.
• Leverage What You Have: Discover how to adapt existing data privacy and cybersecurity controls for AI, rather than building redundant new systems.
• Enable, Don't Inhibit: Learn why cross-functional collaboration between legal, tech, and business units is the critical success factor for practical, effective governance.

Gartner, Build AI Governance Programs That Keep Pace With Regulatory Change, Lauren Kornutick, Alissa Lugo, Josh Murphy, Julie Tani, 29 January 2026

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