Define the Work Before the AI Architecture
How to turn an AI initiative into a bounded project with requirements, data decisions, acceptance evidence and operating ownership.
Ideas grounded in engineering.
Practical writing on AI systems, the controls around them and the work of bringing them into a business.
Insights
4 articles
Why Data Quality Still Matters in AI Workflows
How inconsistent records, missing definitions and stale sources affect AI systems, and how to make those failures visible.
Why AI Projects Stall Before Production
How unclear ownership, weak acceptance criteria and missing integration work can prevent an AI pilot from becoming useful operational software.
Assistants, Copilots and Agents: What Actually Changes?
A clear way to compare AI tools by their access, actions and human responsibilities rather than by product labels.