The test I run on every task
Before I automate anything, I check it against four questions. Does the task repeat, weekly or daily? Does it follow the same steps every time, with few exceptions? Does it move data between tools or people? And does someone spend real hours on it? A task that scores yes on all four is a strong candidate. A task that changes every time or needs human judgment is not, at least not yet.
- Repetitive: it happens on a schedule, not once in a blue moon
- Rule-based: the steps are the same each time, with clear exceptions
- Data-heavy: it moves information between tools, sheets, or inboxes
- Costly: it eats hours you are paying for every week
Rank by dollars, not by what annoys you
The task that irritates you most is not always the one worth automating first. I rank candidates by the money tied up in them: hours spent times what that time is worth, plus the cost of the mistakes when it goes wrong. Chasing a small annoyance can feel good and free up almost nothing. Automating the workflow that quietly burns a chunk of hours a week across your team is where the return is. That is why the ranking is by value, not by mood.
What to leave alone for now
Not everything should be automated. Work that needs real judgment, a relationship, or a decision with money or reputation on the line usually stays with a person. So does low-volume work that happens twice a year. If building the automation costs more than the time it saves, I will tell you to skip it. Knowing what not to touch is half of doing this well.
If you want an outside read on which tasks in your business are actually worth automating, that is what the AI Audit gives you. For $497 you get your three highest-value workflows ranked by dollar value, so you fix the ones that pay you back first.