Madhav Agarwal and I have been meeting weekly during 2026, trying to make sense of AI research, EU regulation, principles and frameworks, and figure out how any of it could actually be useful for leaders, teams and organisations.
Soon, we could not see the wood for the trees. It’s high level regulation. Research that doesn’t get used. AI technologies develop at speed. A governance checklist alone does not get things done.
We realised we needed something more hands-on: a way for teams and organisations to orient themselves and navigate opportunities and challenges in an evolving always changing AI landscape.
We wanted something grounded in research yet simple enough to act on inside a real sprint or a real leadership meeting.
As service designers, we believe in insights and collaboration, so we invited people to learn more about different perspectives and test our prototype at a Campfire session in Stockholm 7:th May.
People had mixed feelings. There is excitement about what AI makes possible. And there is pressure to adopt it at work, sometimes with no clear why. Some would rather not mention AI challenges, afraid of being labelled anti-tech at work. In academia, even using AI to find research articles is not always considered legitimate.
We sit in this AI navigation problem ourselves. We are active AI users and AI service designers, with the aim to design AI powered services. We want to grasp the opportunities while bringing in the responsible aspects.
We therefore aim to make AI journeys more sustainable and successful, for organisations and for the people in them (responsible in the long run may just be a strategy for long term roi).
If you want to test the prototype, join an upcoming campfire, or if questions of AI navigation resonate with where your team or organisation is right now, we would love to hear from you!
Send a message and I keep you posted.
(FYI: The AI campfire illustration is made from a human sketch (mine), prompt coloured with Google Gemini and as always, small AI adaptations occur. My English writing in this post is improved with Claude, although hard work lies beneath.
And yes, I am painfully aware about the conflict and confusion between for how to both use AI responsibly, ownership structures, data access and bias as well how to catch it’s opportunities on different systemic levels. This is part of the gaps and tension we explore, with a vision of how to make a compass for a walkable path in the ever changing AI forest.)