LLM outputs are non-deterministic, making it difficult to ensure reliability in production, especially in high-risk applications. In this talk, we’ll walk through a structured approach to making LLMs production-ready. We’ll cover setting up tests during experimentation, implementing real-time guardrails before responses reach users, and monitoring live performance for critical issues. Finally, we’ll discuss post-deployment log analysis to drive continuous improvements and build trust with stakeholders.