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Systems, Technology & AI

We don't know where AI could pay for itself

Spot it. Sight it. Solve it.

Spot It.

You can see that AI might save time, but you can't put a number on it. Your team spends hours every week on admin: entering data, writing the same emails, building reports, chasing paperwork. You suspect some of that could be automated, but nobody has measured where the hours go, so there is no way to know where a return would come from.

Sight It.

The return comes from hours saved on work that repeats, and most businesses have never tracked those hours. Without a starting number, any spending on AI feels like a gamble. Owners also tend to look for one big project, when the faster payback usually comes from several small tasks that eat a little time every day.

Solve It.

Find the hours first, then the payback:

  1. For two weeks, have each person log the time they spend on repetitive admin tasks.
  2. Total the hours for each task and multiply by the hourly cost of the person doing it, including benefits.
  3. Rank the tasks from most costly to least.
  4. For the top three, compare the yearly cost of those hours with the cost of a tool that could handle them.
  5. Start with the task that pays back fastest, and measure the hours saved after 90 days.

Once you know what the hours cost, the AI decision becomes a simple business case.

Fixed it yourself? Great. Want help making it stick? Talk to a Troubleshooter.

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