The AI governance tool market is booming. The governance gap is getting worse. Those two facts are connected. Organizations are buying platforms to solve a problem that requires architecture.
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5 posts
- AI Governance Requires Architecture, Not Better Tools
- A Step Change the World Isn't Ready For
The UN convened its first Global Dialogue on AI Governance in Geneva and its new Scientific Panel delivered a straightforward preliminary report: agentic AI is a governance step change, and the window to act is closing. The panel's evidence is clear, but whether multilateral institutions can build governance architecture that matches the systems it must govern remains the open question.
- The Effective Agent
Agentic AI is the most hyped and least operationalized technology of 2026: 79% of organizations report adopting AI agents, yet only 11% have solutions in production. This white paper examines why, through the anatomy of a production harness, the architecture patterns that survive contact with reality, the ways agents fail differently than traditional software, and the governance, economics and organizational readiness that determine who closes the gap. It ends with ten recommendations for technical leadership.
- The Operation Was Successful, But The Patient Died
The term hallucination creates a dangerous false impression in enterprise settings. A simple expert-driven framework for evaluating LLM outputs on two axes: completeness and accuracy.
- Are You AI? I Am EA.
Why probabilistic systems demand architectural governance, not better procedures, and why that puts Enterprise Architecture back at the center.