Enterprise AI
fails at the
governance layer_
I'm Daniel Keller — DBA researcher at Geneva Business School studying how enterprise architecture frameworks must evolve to govern AI and autonomous agent ecosystems. I turn DBA research into clarity for leaders who need to act before the field catches up.
AI Solves an 80-Year-Old Math Problem — and the Proof Is 125 Pages Long
On May 20, 2026, an OpenAI reasoning model disproved Paul Erdős's unit distance conjecture using a branch of mathematics nobody had applied to this problem. Here's why it matters beyond the math.
DBA researcher at Geneva Business School. Studying EA governance for AI and autonomous agents.
About me →EU AI Act: What It Actually Requires from Enterprise Architecture
The Act's tiered obligations on high-risk systems — risk management, data governance, human oversight, post-market monitoring — are EA governance requirements, not just legal checkboxes. Most organisations haven't connected these dots yet.
How Robots Learn to Work Before They Exist: The Sim-to-Real Revolution
Hermes is Quietly Becoming the Agent to Watch
Currently open to select conversations
Independent research perspective on your AI initiative. No vendor agenda. No pitch.
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