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.
Your Context Window is Leaking Money: A Practical Guide to Input Token Management
Most teams waste 40-60% of their token budgets. Context rot degrades accuracy by 30%+ in the middle of long inputs. Here are the six techniques that actually fix this — with the numbers to prove it.
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.
AI Solves an 80-Year-Old Math Problem — and the Proof Is 125 Pages Long
How Robots Learn to Work Before They Exist: The Sim-to-Real Revolution
Currently open to select conversations
Independent research perspective on your AI initiative. No vendor agenda. No pitch.
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