As AI becomes embedded in enterprise platforms, safety can no longer be an afterthought, it must be designed in from the start. This session explores the principles and patterns behind building a robust AI safety net, drawing on real-world examples from Salesforce, Azure, AWS, and beyond. Senior developers and architects will leave with a mental model for identifying AI failure modes, applying platform-agnostic guardrails, and avoiding the anti-patterns that trip up even experienced teams. Whether you're building on Salesforce or any modern AI-enabled platform, this is the architectural thinking your projects need right now.