CERRIX

Keeping AI out of control testing feels like the safe choice. But what if the AI only drafts, and your tester still decides? We're building AI-assisted control testing into CERRIX. Here's a 90-second first look: → The AI works from two inputs only: the test plan and the evidence per sample → It checks timestamps, approvals and segregation of duties, and drafts a score and comment for every test step → Your tester verifies each draft against the cited evidence and draws the conclusion. The reviewer signs off as before. See what's coming, and what AI already does in CERRIX today.

From risk reporter to risk owner. That’s the change our CEO Niels van Weereld sees for every line of defence on the way to 2030. At Risk Nordics, he shows what GRC will look like by then, and why AI is the way forward, just not overnight. Three things you’ll walk away with: • Why most risk teams still see issues too late, and what that costs • How regulatory change, risks and controls connect in one chain • The three shifts that will define GRC in 2030 Read more about the session and claim 30% off your ticket 👇

Your key controls are tested every quarter. But if one fails in January, you only find out in April. Most controls are still executed and tested by hand. That makes assurance late and expensive: an average CERRIX client spends around €528,000 a year on running and testing them. Optimising and automating the control framework cuts that cost by more than half, while assurance goes up. CERRIX COO Maurits Toet shows how that business case is built, so you can run the numbers for your own framework.

Your controls are tested, reviewed and signed off every year. But do you know what they cost to run? Most controls are still executed and tested by hand. That makes assurance late and expensive: an average CERRIX client spends around €528,000 a year on running and testing them. Optimising and automating the control framework cuts that cost by more than half, while assurance goes up. CERRIX COO Maurits Toet shows how that business case is built, so you can run the numbers for your own framework.

Less chasing and re-typing. More time for expert work. 📽️👇 The regulatory bridge between Ruler and CERRIX turns a regulatory alert into a gap analysis against your own risk and control framework.

Your team tracks every regulatory change. But can you show which of your controls each one actually affects? In many financial institutions, the step from a new rule to the risk and control framework still runs through spreadsheets and manual handovers. The regulatory bridge between Ruler and CERRIX closes that gap, with a gap analysis against your existing framework. No more comparing spreadsheets side by side. See what a gap analysis looks like without the spreadsheets. 👇