At our Nordic User Group, Claude updated SAP master data live in front of the room, and someone shouted "That's insane!" Earlier that day, a story about a kindergarten fish tank had explained why that speed only pays off when data governance comes first.

Every company running SAP has data quality issues, most of them small enough to live with. But point an AI model at that same data and ask it to decide faster than any person could, and those small inconsistencies stop being harmless. David Nelson looks at why the model gets all the attention while the data underneath it still gets ignored, and what Norsk Hydro's own experience says about actually fixing that.

Is your data ready for AI? Many Nordic organizations are exploring automation, analytics, and S/4HANA, but unreliable SAP data often holds them back. This article explains why trusted, well-governed data is the foundation for successful, compliant, and scalable AI adoption.