What it means
Automation takes a task people repeat and lets software do it. Traditional automation follows fixed rules: when a form is submitted, add a row to a sheet and send an email. It is reliable when inputs are predictable.
AI automation handles tasks with messy inputs, such as reading emails written in different ways or extracting data from varied documents. It is more flexible, but less predictable, so it usually includes checks and human review for uncertain cases.
Why it matters for a business
The best candidates for automation are frequent, time-consuming and follow a recognizable pattern. Automating them frees people for work that needs judgment, and it usually reduces errors from retyping.
A business example
Things to watch
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Automating a bad process makes it faster, not better. Fix it first.
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Keep a person in the loop where mistakes are costly.
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Monitor automations so silent failures are caught.