Axessus publishes short analytical pieces on AI governance: data protection, the EU AI Act, and what actually breaks when organisations deploy AI systems. The perspective is Swiss, which means FADP first and EU instruments where a genuine nexus exists, rather than the other way round.
The pieces are written for people who have to make a decision and live with it. They assume you can read a regulation and want to know which part governs you, not a summary of why AI is important.
Who writes this
Benjamin Maki. I work in IT and infrastructure, running production systems across a group of companies: identity and access, Azure environments, ERP and SSO, and the access recertification work that comes with external audit. The problems I write about are ones I have had to solve, not ones I have read about.
I am also a doctoral candidate, researching governance frameworks for enterprise AI systems. Some of what appears here begins as research and gets tested against practice, or the reverse.
Disclosure
I am building Axessus, a governance-first platform for enterprise AI deployment, and my doctoral research concerns the same subject. That means I have a commercial and an academic interest in the argument that AI governance is an architectural problem rather than a documentation problem.
You should read what I write with that in mind. I have tried to keep the analysis separable from the product: nothing published here recommends Axessus, and the failure modes I describe are ones any vendor’s system can have, including mine. But the interest exists, and it is better stated than discovered.
Corrections
Pieces are dated and left as published. Where something turns out to be wrong, the correction is noted in place rather than made silently. Pieces marked as living documents are updated as clearer findings emerge, and say so at the foot.
Nothing here is legal advice.
Contact
Axessus is published by Applog GmbH, Bern, Switzerland.