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Practical references for AI and automation decisions.

Articles and notes on AI governance, automation and system modernization, including work in regulated settings.

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Deep dive8 min read

An AI Audit Trail for Inspection Readiness: capture, seal, replay

Model evaluation and decision records serve different purposes. Assess what to capture, how to detect record changes, and whether a past decision can be reconstructed.

By André Queiroz · dezotech

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More deep dives

More deep dives in the pipeline.

Deep dive

Assessing Shadow AI: an illustrative 90-day containment plan

What to find, what to fence off, and what to formalize — before unsanctioned AI shows up as an audit finding.

8 min read

Deep dive

AI governance and audit readiness: an engineering playbook

A proposed engineering approach to AI inventories, human review, execution records, and staged legacy changes, with regulatory scope checked separately.

6 min read

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What I've been reading & writing in public

Not articles — just the threads, posts and notes worth your time, hand-picked from where I work in the open. Links go out to the original.

I ran a scanner on my own network and found AI quietly sending data out of the country.

What an afternoon with my own traffic turned up — and the question it left me with.

Read on LinkedIn

dev.to

I parsed my own firewall logs to find the Shadow AI my DLP never saw.

The method, the eTLD+1 matching trick, and the blind spot vendor blogs skip.

Read on dev.to

Ship & Stay Compliant

Automation, legacy modernization & safe AI adoption. Free: the AI-Adoption-Without-Audit-Failure checklist.