Three decisions separate AI experiments from AI capability
In DI Brandstudio (Swedish): why AI maturity is a leadership question, not a tooling one, and the three decisions that turn AI experiments into capability.
By Robin Kling1 min read
Founder of Mpya Digital & AI Business Area Lead, Mpya Digital AI
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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