Practical notes on putting AI to work
What to automate first, what to leave alone, and how teams turn saved hours into results someone can see. Written from the work, for people who don't code and don't want to.
- Practical guides
- For leaders
Practical guides3 min read
Audit before tools: how to decide what to automate first
A 30-minute exercise for deciding which tasks to automate first: list your week, time it, and sort every task into three buckets before you buy an AI tool.
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The capture gap: why your team saves hours with AI and your company doesn't
AI saves people real time, yet most companies see no change in their numbers. Where the savings leak, and the workflow decision that captures them.
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The four-hour tax: the time you spend fixing what AI gives you
People save hours with AI, then spend most of them checking and correcting its output. How to spot the tasks that eat the gain, and what to automate instead.
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