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"Beyond compliance: Unlocking AI's full potential in GRC"

Where are you in your AI maturity journey? Nearly half of organizations are experimenting with AI for GRC, but only leading organizations truly embed it for impactful decision-making. In AI-powered GRC: From reactive compliance to proactive strategy, a research report from Panterra and AuditBoard, benchmark your progress, learn how to break through common roadblocks, and get actionable steps for implementing AI-driven GRC.

Integration, governance, and cross-functional alignment are critical to maximizing AI's potential in GRC. Although 48% of organizations say they’re using AI extensively, dig deeper, and you’ll find many are stuck in pilot mode, struggling to turn experiments into real performance.

The data is clear:

• Leading organizations are 6x more likely than their peers to apply AI across multiple GRC functions, embedding it into daily operations.
• 72% of the most mature organizations use AI to track risk proactively, compared to just 52% at the lowest maturity tier.
• More than half (55%) of mature organizations use AI for predictive risk modeling, shaping risk posture, and strategic planning — not just checking compliance boxes.
• Nearly half (44%) of the most mature organizations plan to invest further in AI-driven risk management in the next 12 months, doubling down on proven returns.

These organizations aren’t just automating. They're building systems that think. They’re feeding AI structured data, connecting policies to risks, and aligning compliance with innovation. Meanwhile, less mature firms are stuck with scattered tools, manual processes, and isolated automation. The most advanced teams don’t just adopt AI, they build for it, making compliance a strategic advantage.

Ready to move beyond one-off experiments and unlock the full potential of AI for your GRC program? Download your copy of AI-powered GRC: From reactive compliance to proactive strategy and gain insights into:

• The AI maturity journey: Understand three levels of AI adoption in GRC and benchmark your organization's current stage.
• Breaking through the "AI ceiling": Learn why organizational maturity, not just technology, is the ultimate factor in AI's strategic value, and how to effectively address common roadblocks.
• A strategic roadmap for AI-driven GRC: Discover actionable steps to advance your maturity by building foundational automation, connecting intelligence across your systems, and preparing for agentic AI.

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