Three decisions separate AI experiments from AI capability
In DI Brandstudio (Swedish), I write about why AI maturity is a leadership question rather than a tooling question, and about the three decisions that take an organisation from scattered experiments to real AI capability.
Robin Kling, founder of Mpya Digital and AI Business Area Lead for Mpya Digital AI.
"Where do we start?" It's a question I hear over and over from leadership teams who know they need to act on AI but don't know where to begin.
In a new article for DI Brandstudio (in Swedish), I write about why that uncertainty isn't a sign the organisation is behind, but a misconception about what AI maturity actually means. My point: AI is not a tooling question, it's a leadership question.
I walk through three levels of AI use, individual, process, and autonomous, and why most companies have activity at all three without a strategy. From there I land on three concrete decisions no license can replace: which processes to lift to a shared way of working, which tasks should become fully autonomous, and in what order. Decisions I argue belong on the leadership team's agenda, not with IT or next quarter.
Direction is what separates AI experiments from AI capability.
Read the full article at DI Brandstudio (Swedish): Tre beslut skiljer AI-experiment från AI-förmåga
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