Insights
Thinking you can take to your board.
No tool roundups. No “10 ChatGPT prompts.” We write for operators making real automation decisions — what to build first, what it costs, what it returns, and what goes wrong. One idea at a time, argued properly.
Written by the people who build · not a content farm
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Strategy
The AI mandate: why "do something with AI" is the worst brief of 2026
Boards everywhere are issuing the same three-word instruction. Here's why it produces demos instead of results — and the one-page brief that produces results instead of demos.
Playbook
What should we automate first? The 80/20 of operational AI
The four workflow patterns that hide 80% of recoverable hours in almost every company — and the scoring method to rank yours.
Field notes
Why AI pilots die — and shipped systems don’t
The autopsy is always the same: no owner, no metric, no path to production. The fix starts before the first line of code.
Economics
How to measure “hours returned” so your CFO believes it
Baseline before, log after, report monthly. The audit-proof method we use on every engagement — take it, it’s yours.
Economics
The real cost of manual work (it’s not the salary)
Error rates, delay costs, opportunity cost, and the compounding tax of tribal knowledge. A calculator-ready framework.
Playbook
Build vs. buy for AI automation: a decision tree that ends the debate
When off-the-shelf wins, when custom wins, and the hybrid pattern that wins most often. With the questions in order.
Field notes
AI without layoffs: what actually happens to the team
We’ve watched it across 100+ projects — and lived it ourselves at 87→35 hours. The honest account of where the hours go.
The Operator's Edge
One idea, one point of view, one action. Written for people who run operations, not people who follow AI news.
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