In Episode 176 of the AIAW Podcast, we sat down with Danilo Nobrega, Founding Go-to-Market Lead for the Nordics at LangChain, to unpack what it truly takes to scale enterprise AI agents beyond the prototype stage. Drawing on his background in data infrastructure at MongoDB and his work expanding LangChain across Scandinavia, Danilo shared practical insights into the shift from simple LLM wrappers to fully orchestrated, stateful, production-ready agentic systems. We explored LangGraph, agent memory, feedback loops, observability, and cost control—breaking down how organizations can build reliable, explainable, and economically sustainable AI applications at scale. From enterprise use cases and ROI to the Nordic AI ecosystem and the future of AGI, this episode delivers a grounded and strategic look at where agent engineering is headed next. 

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