Blog

Field notes on shipping operational AI.

Short, opinionated articles on the practice of building and running AI systems inside real organizations.

Operating model6 min

Why AI projects fail before they ever reach production

Most AI initiatives die in the gap between a working demo and a system that actually runs the business. Here's where they break.

Copilots5 min

A chatbot answers questions. A copilot does work. The difference is grounding, tools and accountability — not the model underneath.

Workflow automation7 min

Most operational time loss isn't on big decisions — it's on the dozens of small, repeatable steps in between. That's where automation pays.

Decision systems6 min

When a person keeps making the same judgment call, you don't need a dashboard. You need a system that issues a recommendation.

Data5 min

AI runs on context. If the data isn't accessible, structured and trustworthy, no model will save the project. Fix the feed first.

Strategy5 min

Forget the demo. Ask three questions: which workflow, which decision, which owner. If any answer is fuzzy, the project will stall.