GRC in 2030: Why spreadsheets and periodic compliance won’t survive AI

From periodic compliance to continuous intelligence

For years, GRC has been built around periodic cycles, manual processes, and retrospective reporting. That model is now reaching its limits.

Risks evolve continuously while organizations are expected to demonstrate control in real time. Yet many still rely on fragmented tools, static controls, and after-the-fact evidence collection.

This creates a structural gap: risk is dynamic, but GRC remains static.

Closing that gap requires a fundamental shift.

In this webinar, you will learn how AI enables the transition from static GRC to continuous insight, automation, and decision support.

What you’ll learn

• Why traditional GRC models struggle to keep pace with real-time risk and regulatory demands

• What intelligent GRC in 2030 looks like in practice

• How organizations are already embedding AI into risk and control processes (with live demo)

• Practical steps to start your transition

Live demo: AI in practice

• Generate risk & control descriptions with AI

• Upload documents and extract risks & controls automatically

Guest speaker insights

Joachim Jonkers (Chief Product Officer, CERRIX) shares his vision on how organizations can prepare for and adopt AI in GRC.

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