In Episode 176 of the AIAW Podcast, Danilo Nobrega, Founding Go-to-Market Lead for the Nordics at LangChain, explores what it really takes to scale enterprise AI agents beyond the prototype stage. Drawing on his background in data infrastructure at MongoDB and now helping expand LangChain across Scandinavia, Danilo shares insights into the shift from simple LLM wrappers to fully orchestrated, stateful, production-ready agentic systems. We dive into LangGraph, agent memory, feedback loops, observability, and cost control-examining how organizations can build reliable, explainable, and economically sustainable AI applications at scale. From the strengths of the Nordic tech ecosystem to the future of human expertise in an agent-driven world, this conversation looks at the challenges of today and the trajectory toward increasingly autonomous systems.
