Which Daily Tasks Should You Hand to AI, and Which Not

When someone starts using AI at work, they go through two wrong phases before landing on the right one. In the first, they hand it nothing, because they don't trust it. In the second, they hand it everything, including things they shouldn't, and end up sending an email with made-up data or a quote with a price nobody checked. The useful spot is in the middle, and getting there doesn't require knowing anything about technology: it requires a rule for deciding what goes and what doesn't.

The most practical rule out there comes down to two questions: how expensive is it if this goes wrong, and how easy is it to notice that it went wrong. Those two questions sort almost any task in a Mexican office, no matter the industry.

What tasks are safe to hand over without much thought?

Anything that's rewriting, summarizing, organizing, or formatting. Turning loose notes from a meeting into a clear summary. Condensing a long email from a customer into three bullet points. Drafting the first version of a proposal that you're going to review. Sorting a messy list of orders. Translating a message. Pulling the five things you care about out of a long document. In all of those, the mistake is cheap and shows up immediately, because you already know the original material.

It's also worth handing over anything that means starting from scratch. The blank page costs more time than people admit: writing the post, the follow-up email, the product description, the message to the customer who hasn't paid. Having AI put down the first version and correcting it yourself is almost always three times faster than writing it from zero, and the final result is still yours because you edited it.

And it's very much worth using it to think out loud. Ask it to raise the hard questions before a negotiation, to list what you might be forgetting about a project, to give you three different ways to explain something to a customer who didn't get it. There it isn't producing anything that's going out the door: it's helping you prepare, and that carries no risk.

What should you never hand over without checking it?

• Numbers that go out to a customer: prices, quotes, deadlines, discounts, payroll or tax calculations.
• Data you didn't provide yourself, like figures, dates or regulations the AI is assuming; if you didn't already have it, verify it before using it.
• Commitments: promising a delivery date, accepting a condition, or giving a guarantee on behalf of the business.
• Sensitive conversations: a serious complaint, bad news, a personnel matter, or anything that has already turned tense.
• Documents with confidential customer or company information, in tools where you don't know where what you paste ends up stored.
• Anything that's going to be published under your business's name without a person reading it in full first.

The rule behind that list is simple: AI doesn't know what's true, it knows what sounds right. When you ask it for something that depends on data it doesn't have, it will fill in the gap with something plausible. In a summary, that shows up and gets fixed; in a quote that's already been sent, it doesn't.

Hand AI the things that are hard to start. Keep for yourself the things that are expensive to get wrong.

How do you decide case by case?

When you're unsure about a new task, ask yourself the two questions from the start. If a mistake is cheap and shows up quickly, hand it over without worry, and learn from it. If a mistake is expensive but shows up quickly, use AI for the draft and always review before sending. And if a mistake is expensive and also hard to catch, like a wrong number buried in a long document, that task doesn't get delegated: it gets done, or checked, line by line.

A good exercise to do as a team is to list the ten tasks that eat up the most time in a week and sort them into three columns: automate it, draft-and-review it, don't touch it. In half an hour you'll have a clear agreement, and that agreement avoids both wrong phases from the start. It's exactly the kind of judgment call worked through in an AI course for teams, because it's not about learning tools, it's about knowing where to place them.

Over time the list shifts. Tasks you fully review today will move to a quick review once you've confirmed they come out right again and again. What should never move is the final signature: someone on your team has to be responsible for what goes out under the business's name, no matter who wrote the first draft.