Current work
AI adoption in a regulated organization
Helping people move from AI interest to actual use through needs discovery, practical learning and shared ways of working, with attention to risk, ownership and measurable value.
About
The interesting part is how AI becomes useful in real work: finding the right problems, testing what helps and creating the conditions for people to use it responsibly.
I come from service design, UX and product work, but the work has always been less about screens than about translation. Between users and teams. Between ambition and constraint. Between the thing people say they need and the work that actually has to change.
AI has made that translation sharper. It can make weak ideas look finished, but it can also expose the real shape of a problem faster than old discovery rituals ever could. My work is to stay close to that edge: ask better questions, build small working things, test them against real use and keep the organization honest about both value and risk.
Since November 2024 my work at Svenska Spel Sport & Casino has spanned service design and AI Enablement, including internal AI workflows, CustomGPTs, shared skills, prototypes and needs discovery. I have built and shaped internal AI tools for knowledge work, brand support, risk analysis and CRM-related discovery. The useful lesson has rarely been the tool itself. It has been what the work revealed about source quality, trust, ownership and what people were actually trying to get done.
Today I work as AI Adoption Lead at Svenska Spel, connecting business needs with AI capabilities and helping useful ideas become everyday practice. The work spans discovery, prioritization, learning and change, with follow-up on actual use and business value.
Before that I spent more than a decade in service design, UX, strategy, growth and agency leadership across complex digital products and organizations. Those roles taught me that the hard part of innovation is rarely the idea. It is the operating system around it: incentives, ownership, timing, language and the organization's tolerance for change.
The essays on this site are the slower version of the same work: attempts to name what AI exposes in organizations before the professional language makes it harmless again.
Current work
Helping people move from AI interest to actual use through needs discovery, practical learning and shared ways of working, with attention to risk, ownership and measurable value.
Background
Early-stage discovery, qualitative research, prototyping, validation and cross-functional delivery shaped by strategy, growth and agency leadership.
Operating mode
I do not build AI demos to create momentum. I start with small working things, then turn the useful ones into usable workflows, tools or knowledge systems when the constraints allow it.