What is AI automation?

The difference to classic automation

Classic automation follows rules somebody wrote down: if the subject line contains this word, move the mail to that folder. It is reliable and it breaks the moment reality does not match the rule. AI automation puts a language model at exactly those points: it reads the mail, understands what the person wants, and decides. In exchange for that flexibility you give up certainty, which is why every step that costs money gets a human approval in front of it.

Five examples from an ordinary week

• An enquiry arrives, gets categorised, ends up in the right list, and the sender gets a sensible reply within a minute.
• A supplier invoice is read, the numbers are pulled out and land in the accounting export your tax adviser expects.
• A recorded meeting becomes a summary with the three decisions and who has to do what.
• Every Monday the numbers from three different programs land in one report that nobody had to click together.
• A forty page tender document becomes one page of what actually concerns you.

How to start without wasting money

1. 1 For two weeks write down every task that annoyed you and took longer than fifteen minutes.
2. 2 Pick the one that appears most often, not the one that sounds most impressive.
3. 3 Automate that single one, end to end, including the exception cases.
4. 4 Only then look at the next one. Ten half-finished automations are worth less than one that runs.

Where the limits are

A language model does not know anything about your business unless you give it the documents. It sounds equally confident when it is right and when it is wrong, which is why sources and approval steps matter. It cannot take responsibility, so somebody in your business still owns the outcome. And it does not replace a person who thinks; it replaces the twenty minutes that person spends copying things between two windows.