James Crow

What happens when the people who understand your most complex business rules cannot change them without joining an engineering queue? Kaizen is a fast-growing RegTech specialising in regulatory reporting assurance. Its data-intensive platform operates in a highly complex and controlled domain where thousands of rules must be translated into executable logic and applied across large datasets. Kaizen partnered with AWS premier tier partner Rebura to design and build this solution. This session explores how Kaizen and Rebura built a metadata-driven, serverless architecture on AWS to separate domain logic from the underlying platform - enabling subject-matter experts to author and maintain rules in a governed developer environment. It will cover how AI tooling accelerated the discovery and translation of specialist rule logic into SQL while deterministic, expert-designed testing continued to provide the control and explainability required for client results. The session will show how Kaizen and Rebura modernised a complex rule system, brought domain experts into the development lifecycle and created a stronger foundation for quality assurance and future intelligent data capabilities. Key takeaways 1. Separate domain logic from platform logic. A metadata-driven architecture makes complex rule systems easier to scale, govern and evolve while reducing dependency on core engineering teams. 2. Bring domain experts into the development lifecycle. Giving specialists the right…