Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure

Your agent works. It reasons, calls tools, and returns answers in the demo that impress everyone. But between that notebook and a production deployment sits a gap having nothing to do with your model or your framework. Three failures hit a single AI agent deployment overnight—43 duplicate tickets, $4,000 charged to the wrong account, and a hallucinated refund policy leading to a $280 return the company had to honor. The agent ran on LangChain. It worked perfectly in staging. Every…

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