
AI for business: where do you start and what does it cost?
What AI can really do in a company, where you start, what an implementation costs, why pilots run aground and when you are better off not starting.
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What AI agents are, how you prove in 45 days what they deliver, and how you stay in control. Written for executive and leadership teams.
The long pieces, meant to give a complete answer in one go.

What AI can really do in a company, where you start, what an implementation costs, why pilots run aground and when you are better off not starting.
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The figures range from 8 to 78 percent. All of it checked at the source: what counts as using AI, and which numbers turned out not to hold up.
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The four decisions that belong to the executive team, seven questions for every AI proposal and how to put AI on the leadership team agenda. A framework, not a course.
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Four places where installation companies lose margin, which systems are running, what an agent does there and when it is not worth it.
Read moreShorter pieces on one subject.

Not a chatbot, not a dashboard. An agent reads your sources, flags what deviates and prepares the groundwork. Here is how it works, in plain language.
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BI shows what happened. Management Intelligence connects data, knowledge and context to determine what it means and what you choose now.
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One challenge, one baseline measurement and one factual decision. What we measure, why 45 days is enough and when we stop.
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The closer AI gets to business decisions, the more control matters. Six agreements you make before you start.
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From first application to a coherent digital foundation. What a Digital Twin is, what it is not, and how you get there.
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Where does margin pressure build? Which projects are at risk? Which knowledge hangs on one person? Test your own clarity.
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