The Transformation Office
Why transformations stall between decision and implementation, and what it takes to close that gap in an era where agents execute rather than assist. A column by Tobias Unger.
The Transformation Office is Tobias Unger’s column on sapperment, one of the platform’s Leading Top Voices columns. It explores the conditions under which AI-driven transformation actually delivers — and why it so often does not. Tobias writes for executives navigating the gap between AI investment and enterprise-level impact: what it takes to define work at a resolution machines can execute, how to govern agents without stifling them, and why the bottleneck is almost never the technology.
Every article in the column
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The Limits of Language and the Power of Context
Enterprise AI systems are not misunderstanding your business — they are producing coherent form you are projecting meaning onto. Why AI transformations stall at the work-definition problem, and the governed context layer (Process Atoms, Company Memory) that closes the gap.
Where the column connects
The column’s argument about governed context runs through the platform’s wider work on enterprise AI. Tobias’ view that semantic disagreement is organisational disagreement is one of the perspectives in AI agents do not need more data; they need business context. For the executive decisions around the same question, read AI agents in ERP and embedded AI governance in Executive Clarity.
Tobias Unger is Senior Global Vice President at SAP SE. He writes on sapperment in a personal capacity; views are his own and do not represent SAP.
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