Research & field notes
Useful thinking without the noise.
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Designing an evidence trail for automated decisions
September 21, 2026
Traceability is more useful when designed around real operating questions: what happened, why, under whose [...]
What makes an AI control operational
September 21, 2026
A policy becomes operational when ownership, evidence, thresholds, escalation and review cadence are explicit.
Free tools should create better buyers
September 21, 2026
The strongest free resource does not hide the answer. It helps a serious user understand [...]
The executive case for fewer metrics
September 21, 2026
A compact management system often outperforms a sprawling dashboard because it preserves attention for decisions [...]
From AI pilot to operating capability
September 21, 2026
A pilot proves possibility. An operating capability requires ownership, controls, economics, monitoring and an explicit [...]
The minimum viable business operating system
September 21, 2026
The smallest practical system for priorities, metrics, ownership, review and learning.
AI controls should match consequence, not novelty
September 21, 2026
A proportional approach to controls based on impact, autonomy, reversibility and exposure.
AI ROI: build an evidence ladder, not a promise
September 21, 2026
A practical way to move from assumed AI value to measured operational and financial evidence.
What a board-level AI update should contain
September 21, 2026
A concise reporting structure for AI adoption, value, exposure, incidents, controls and decisions requiring executive [...]
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