AI has huge potential to transform compliance, but only if it’s built on trustworthy regulatory data.

In this article, RegGenome explores why the real challenge for risk and compliance leaders isn’t the AI models themselves, but the fragmented, unstructured regulation they depend on. Without structured, source-linked data, outputs are inconsistent, untraceable, and can’t support defensible decisions.

With financial services facing 30,000+ regulatory updates a year, data quality has become a strategic risk management issue. The firms that win will be those treating regulatory data as infrastructure, enabling explainable AI, scalable compliance, and resilient risk frameworks.

Explore the insights: https://reg-genome.com/ai-ready-regulatory-data-regtech/