The Skilly Work Blog
Notes on AI literacy, oversight, and the culture that makes it stick.
Writing for the people who own how AI is used at work — L&D, compliance and people leaders. Evidence over certificates, judgement over awareness.
Five pillars of responsible AI oversight, and the one a certificate can't cover
Five pillars of responsible AI oversight, and the one a certificate can't cover
Board conversations about AI oversight increasingly organise around five pillars: people, process, technology, data and governance. Four of them run on documents and architecture. The people pillar runs on behaviour, and behaviour is the one thing you can't evidence with a policy or a completion certificate. Here's how self-reflection closes that gap.
The Skilly Team · 4 min readThe hard part of AI isn't the model. It's who owns how you use it
Model capability is fast becoming a commodity. The organisations that pull ahead won't be the ones with the smartest AI. They'll be the ones where leaders, managers and employees each own how it's deployed, and can evidence it. Here's how to make that ownership real and visible across the whole organisation.
The Skilly Team · 5 min readAI-first is a culture, not a licence, and culture is built from habits
Most 'AI-first' programmes stop at licences and a training module. But culture isn't access: it's how people behave with AI when no one's watching. Here's how reflective practice and five simple habits turn AI adoption into a culture that sticks, and that you can evidence.
The Skilly Team · 5 min readSee how your people actually use AI.
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