Jan Oberhauser’s Post

When we started planning our first-ever conference, I never imagined we would have this lineup on the agenda: SAP, NVIDIA, Microsoft, Accenture, Capgemini and Boston Consulting Group (BCG) I am incredibly grateful to these teams for joining us at "In The Loop: and sharing how they are using n8n to tackle some of the biggest challenges around AI and automation. We will hear about: - AI sovereignty  - Scaling n8n across a large enterprise like SAP - How n8n will be embedded in Joule Studio - Choosing the right workflows to maximize ROI And we are only getting started.  I would love to see you in Berlin on October 14 for our first In The Loop. https://n8n.io/intheloop/

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Jan Oberhauser If you make business with SAP , I have to naturally downgrade n8n. I thought you would know. They have a bad influence on anybody.

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Impressive! Too bad I’m not gonna be in Berlin on the 14 😞

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Is there a remote Link? Or is it in person only?

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We are looking forward to be on stage @ n8n In The Loop 2026. See you there!

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This is huge! Seeing teams like SAP, NVIDIA, Microsoft and Accenture come together around n8n is a great reflection of how far workflow automation has come. Excited to learn from the real-world enterprise use cases and see what’s next for n8n!

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This is an incredible lineup for a first conference, Jan Oberhauser. Having heavyweights like SAP, NVIDIA, and Microsoft sharing the same stage to tackle AI sovereignty and enterprise scale shows how vital workflow orchestration has become.

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Berlin, October 14, and SAP explaining how they scale n8n internally right next to NVIDIA and Microsoft on the same agenda. That's the kind of lineup that used to take three separate conferences. Excited to see how "AI sovereignty" gets defined once SAP, Microsoft and NVIDIA are all in the same room with different stakes in that word. Congratulations on pulling this off Jan.

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The point on choosing the right workflows to maximise ROI is especially important. In industrial operations, you have to start with the financial outcome — EBITDA, cash, capacity or growth — and work backwards into the workflow, data and AI architecture. That’s exactly the lens we’re applying at Kriyanta.ai. Looking forward to this discussion in Berlin.

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