Articles
Perspectives from our work
Articles on digitalisation, AI, project management and leadership. Written soberly, out of concrete mandates, without grand promises.
Digitalisation & AI
AI does tasks, not jobs
Technical replaceability is not the same as organisational capability. What Ford, Klarna and IBM learned about it.
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Why your AI always recommends the same thing on strategy questions
Regardless of context, leading models almost always advise the obvious. Researchers call it trendslop.
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Digital sovereignty does not mean building everything yourself
Dependency does not begin with the choice of language model, but where knowledge and processes grow into a single provider.
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When AI knows your intent before you state it
The more context a system receives, the less you have to tell it. That relieves work — and shifts the balance of power.
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The next AI agent no longer waits for your prompt
An agent can work correctly and still miss the actual need. Four conditions before it may act inside a company.
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Without an organisational memory, AI agents stay blind
Minutes contain the decision, but not the reason. What agents need to tell relevance from noise.
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The more intelligent AI becomes, the more important project leadership becomes
Once AI works, the difficult questions begin: Who decides, who carries responsibility and how does the change remain controllable?
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When AI becomes a team member, leadership changes
More AI does not mean less leadership. It means more precise rules for collaboration between people and systems.
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Without project memory, AI remains a fast lone operator
AI needs more than data. It needs traceable project knowledge with context, currency and clear responsibility.
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Digital sovereignty begins with controllable project decisions
Providers and systems may change. Decision-making capability, knowledge and responsibility must remain within the organisation.
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