Insights
Notes from the build side of AI.
Practical writing on data sovereignty, governed agents, and what it takes to move AI from a demo to a production system. No hype, no vendor scores, just what we see shipping these systems.
September 8, 2026 · 2 min read
A practical blueprint for governed AI agents
AI agents are useful exactly when they can touch real systems, and dangerous for the same reason. A practical architecture: scoped access, evidence on every step, drafts with human approval, and evaluations that keep it honest.
AI agentsAI governanceRead the articleSeptember 6, 2026 · 3 min read
What a 30-day AI pilot should actually deliver
Most AI pilots end with a demo and a decision to think about it. A good pilot ends with a working workflow, a measured baseline, and a go or no-go you can defend. Here is the checklist.
AI pilotsProduction AIRead the articleSeptember 4, 2026 · 2 min read
Data sovereignty vs. data residency vs. data localization
Three terms that get used interchangeably and mean different things. Plain definitions, how they differ, and why sovereignty is the one that matters when you deploy AI on business data.
Data sovereigntyAI governanceRead the articleSeptember 2, 2026 · 3 min read
Why chat-with-your-data fails in production
Chat-with-your-data demos impress and then stall. The failure is rarely the model: it is permissions, evidence, and accountability. Here is what breaks and what production-grade looks like.
Production AIAI governanceRead the article
Put AI to work without giving up control.
A fixed-scope Opportunity Sprint: your system map, three prioritized use cases, and a pilot plan in two weeks.