Resources
Practical notes, not thought leadership
What we have learned building AI and digital products for Nordic B2B — written for the people who have to decide, not for the people who have to implement.
Insights
28 July 2026
4 min read
The case against the three-year AI roadmap
Roadmaps built for board approval optimise for looking complete. What you want is something in real use before the assumptions expire.
Read itAI readiness: the five things that actually predict success
Readiness assessments tend to measure technology maturity. The factors that predict whether an AI project lands are mostly organisational.
Most AI projects fail before a line of code is written
The failure is almost never the model. It is that nobody defined the problem tightly enough to know what success would look like.
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