Measuring the ROI of an AI GRC platform
Investing in an AI GRC platform represents a significant commitment. How do you justify this budget to management? What are the expected concrete gains? This case study presents key metrics and a methodology to calculate the ROI of your AI GRC project, based on feedback from Vailor customers.
Measurable productivity gains
Organizations using Vailor see on average: 70% reduction in EBIOS RM risk analysis time (from 15 days to 4-5 days), 60% reduction in repetitive manual tasks, 50% improvement in compliance coverage, and 40% reduction in back-and-forth between teams. These gains directly translate into time and resource savings.
Calculating ROI for your organization
Calculation formula: ROI = (Annual gains - Platform cost) / Platform cost × 100. Gains to consider: time saved × team hourly cost, risk reduction (average cost of a data breach: €4M), accelerated compliance (avoiding NIS2 fines up to €10M). Most Vailor customers achieve ROI in less than 6 months.
Beyond financial ROI
The ROI of AI GRC isn't limited to direct savings. Additional benefits: better security posture, proactive rather than reactive compliance, team satisfaction freed from repetitive tasks, ability to absorb more projects without hiring, and competitive advantage through acquired agility.
Conclusion: An investment that pays off quickly
The ROI of an AI GRC platform like Vailor is generally positive from the first year. Productivity gains and risk reduction largely justify the investment. Request a personalized study to calculate the potential ROI for your organization.