18/06/2026
๐ ๐๐ฒ ๐ผ๐ป ๐ง๐ผ๐๐ฟ: ๐ง๐๐ผ ๐ฐ๐ถ๐๐ถ๐ฒ๐, ๐ผ๐ป๐ฒ ๐๐ถ๐ฑ๐ฒ๐ผ ๐ฟ๐ฒ๐ฐ๐ฎ๐ฝ.
Frankfurt and Amsterdam, back-to-back at the ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฆ๐๐บ๐บ๐ถ๐ & ๐๐น๐ผ๐๐ฑ ๐๐ ๐๐ถ๐๐ฒ. The conversation kept returning to the same place: how to work ๐๐-๐ป๐ฎ๐๐ถ๐๐ฒ as an enterprise company.
Most companies think becoming AI-native is about adopting better tools. Both events last week made it clear it is not. Different audiences, different contexts. But the AI-native conversation kept surfacing the same uncomfortable insight: majority of companies say the biggest barrier to scaling AI is not the technology. It is the skills, the mindset, and the organisational change nobody planned for.
A few things that stood out across both events:
โพ Don't automate. Transform. AI used to speed up broken processes is a missed opportunity. The real question is whether those processes should exist at all now that intelligence is no longer scarce.
โพ Management needs a North Star. Isolated experimentation without leadership direction leads to "ready, fire, aim" AI. Strategy has to come from the top.
โพ Measure more than velocity. Speed without quality controls creates technical debt. The real ROI picture includes adoption, system quality, and business impact alongside developer speed.
โพ AI is a change management problem. When AI fails to deliver, the culprit is rarely the model. It is organisational resistance, lack of trust, and poor rollout.
In Amsterdam, we also took the stage to talk about our AI Tumor Board work in oncology. A completely different industry, but the same pattern: a technically solid multi-agent system, and the hardest challenge being human. Calibrating clinical trust so doctors neither ignore the tool nor defer to it blindly.
๐๐-๐ป๐ฎ๐๐ถ๐๐ฒ ๐ถ๐ ๐ป๐ผ๐ ๐ฎ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐บ๐ถ๐น๐ฒ๐๐๐ผ๐ป๐ฒ. ๐๐ ๐ถ๐ ๐ฎ๐ป ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ผ๐ป๐ฒ.
What is the biggest human barrier you are running into when scaling AI?
See some of the key moments from last week๐
Find our video on How to become an AI-native company ๐https://hubs.la/Q04lQXQC0
