At n8n Builders Berlin, Erwin Buckers, Co-Founder and CEO of Chainels, shared how his team is building what they call the “self-driving car” of automation. Using n8n Enterprise, Chainels connects its REST API with custom-built nodes, runs multiple self-hosted instances on AWS with Kubernetes, and even uses evals to benchmark different AI models like OpenAI, Mistral, and Gemini. Their setup supports enterprise clients running up to a million workflow executions a month, all while staying compliant and in control of their data. Erwin also explained how they manage tech debt, test new AI models safely, and treat workflow building with the same rigor as software engineering. It’s a practical, honest look at what scaling AI-powered automation in production really takes. Watch the full talk here: https://lnkd.in/exXU6Wfh
Impressive insight into scaling AI automation at enterprise level. Chainels’ approach combining n8n, Kubernetes, and model benchmarking sets a strong example for high-volume, compliant workflows. Treating workflow building with software engineering rigor is the key takeaway for sustainable automation.
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1dThis is an impressive overview of scaling automation effectively. Thank you for sharing such valuable insights, Erwin.