Building an AI agent proof-of-concept (POC) is easier than ever, but transitioning that prototype into a reliable, enterprise-ready production system introduces a completely new set of challenges. This talk breaks down the critical bridge between experimentation and production. We will explore how to transition from brittle prompt engineering to robust agentic architectures, implement rigorous evaluation frameworks to measure accuracy, and establish Azure-backed guardrails for security and cost control. Attendees will leave with a practical roadmap and real-world design patterns to transform their raw POCs into resilient, scalable AI agents that deliver measurable business value.