grep --tag innovation questions.txt
Questions I help answer
Questions companies are asking themselves right now, each with a short note on how I would approach it. If yours is not here, ask anyway. ~/contact
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How do our innovations make use of AI, in the product and in the way we innovate?
We look at your innovation process as a whole, from where ideas come from to how they get tested, and find the steps where AI changes what is possible, not just what is faster.
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How do we move our employees from the tail end of AI to the front end?
With practice on their own tasks, good examples and explicit permission to try. Tool training alone does not do it.
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Are we using AI, or are we getting value from it? And how would we know?
We define what value means for one concrete process, measure where you are today and compare. Most companies skip the baseline and then cannot tell.
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How do we run AI experiments without derailing the core business?
Small, time-boxed pilots with a clear stop criterion, run next to the core process rather than inside it until they have proven themselves.
4 questions