Writing

Short, practical writing on production AI.

Practical writing on production AI, aviation AI, enterprise governance, decision intelligence, and the gap between AI demos and operational reality.

AI product and platform teams

AI Governance Without Slowing Adoption

How to make AI governance practical by embedding review, access control, auditability, and rollback into the product itself.Thesis — Governance works best when it is built into the workflow instead of bolted on as a policy document.

May 30, 2026· 4 min read

Enterprise AI teams

AI Without Perfect Data

A practical view of building useful AI systems when enterprise data is incomplete, messy, delayed, or politically difficult.Thesis — Production AI should acknowledge imperfect data and build reliability, feedback, and review loops around it.

May 30, 2026· 4 min read

AI and aviation leaders

Decision-Grade AI for Airlines

Why airline AI systems should be judged by decision quality, workflow fit, and operational traceability rather than demo fluency.Thesis — Airline AI becomes valuable when it improves decisions under constraints, not when it produces impressive standalone outputs.

May 30, 2026· 5 min read