Compliance isn’t a checkbox it’s an architectural decision. In this session, Arunita breaks down how teams can design AI systems that are compliant by default, not by patchwork. From model audits and traceability to permissioning, logging, and robust data handling, get a behind-the-scenes look at what it actually takes to build AI that stands up to regulatory scrutiny. Key takeaways: → Core infrastructure patterns for auditability, transparency, and access control. → How to embed compliance considerations into your AI development lifecycle from day one.