// the tuesday guide

The 7 mistakes small businesses make with AI (and how to avoid them)

By Trinity · MariVisionSeptember 29, 20269 min read
Ale from MariVision in a large dark lab, beneath an arch of seven glowing red warning triangles hanging near the ceiling, among crumpled sheets of paper and broken chat bubbles
2026 · 09 · 29 — THE TUESDAY GUIDESeven AI mistakes to avoid

For two years now, everyone has been telling small businesses to “use AI.” Almost nobody tells them how not to use it. Yet the real trouble rarely starts with the tool: it starts with bad habits, always the same ones. A text published without a second read, a contract pasted into a chat, a chatbot left free to promise refunds. This is an anti-guide: seven mistakes, with real cases, and for each one what to do instead. If you recognize one of them, you're not alone — and it can be fixed in an afternoon.

1 · Publishing without a second read

Dark law library with a large holographic document hanging near the ceiling, a few lines highlighted in red and a glowing magnifying glass above it

AI always writes in the same confident tone, whether it's right or making things up. And it makes things up more often than you'd think: a number, a regulation, a date, a quote. The best-known case in Italy dates from March 2025: the Court of Florence found, in a defense brief, several rulings of Italy's Supreme Court that didn't exist. ChatGPT had “found” them, and nobody at the law firm had checked them before filing.

You don't have to be a lawyer to fall into the same trap. All it takes is a quote with the wrong tax rate, a product page with a made-up measurement, a post citing a law that doesn't say what the post claims.

Why it matters to you: everything that goes out under your name is yours, and “the AI wrote it” doesn't work as an excuse with a customer or with a judge. The rule is simple: the AI drafts, you reread, and every number or reference gets checked at the source before you send it. Reading and correcting is still five times faster than writing from scratch: that's where the gain is.

2 · Pasting into a chat what you shouldn't

Dark open-plan office with a large holographic chat window sucking in confidential documents, a padlock and a spreadsheet, while a red siren flashes

In the spring of 2023, some Samsung engineers pasted pieces of confidential code and notes from an internal meeting into ChatGPT to get help. Within a few weeks the company banned generative AI tools on all corporate devices. Nobody had bad intentions: they just wanted to work faster.

In a small business the same thing happens, on a smaller scale: the customer list with phone numbers, the supplier contract, the payslip to “summarize,” the password typed into the message for convenience.

Why it matters to you: with the free version of many chatbots, what you type can be stored and used to train the models, and your customers' personal data is covered by GDPR even when you paste it into a chat. Before pasting, remove names, figures and personal data, and use a business account with training turned off. We wrote a whole guide on what you can upload to AI safely.

3 · Letting the chatbot make promises

Dark airport check-in hall with a large holographic chatbot speech bubble hanging near the ceiling, a glowing refund ticket and a big red stamp

It's the story every business with a chatbot should know. A customer asks the Air Canada chatbot how bereavement fares work. The chatbot tells him he can buy the ticket at full price and request a refund afterward. It wasn't true: the airline's policy said the opposite. The customer appeals, and in February 2024 a Canadian tribunal rules in his favor. The airline's defense — that the chatbot was “responsible for its own actions” — is rejected: whatever the chatbot on your website says, you're the one saying it.

Around the same time, in the United States, a car dealership's chatbot was talked into “selling” an SUV for one dollar. That one ended in laughter, but the mechanism is the same.

Why it matters to you: a chatbot that answers questions about hours, shipping and availability saves you hours. One that decides on its own about prices, discounts, refunds and warranties is a risk you pay for. On those topics it has to hand off to a person, every single time. If you're considering a chatbot for your business, ask to see what it answers when someone tries to squeeze a discount out of it; and before that, ask yourself whether you really need a chatbot at all.

4 · Buying the app before you have the problem

Large dark store stacked to the ceiling with glowing subscription boxes and app icons, with a small wooden workbench lit by a warm spotlight in the foreground

Three active AI subscriptions, twenty euros each, and none of them actually used. It's perhaps the most common mistake and the least visible, because it does no damage: it just drains money every month. It happens when you start from the tool everyone's talking about (“I need that one too”) instead of from the work you want off your plate.

The right method runs the other way. Take a sheet of paper and write down the three tasks that steal the most hours from you every week: answering the same emails, preparing quotes, writing posts, copying data from one file to another. Only then do you look for the tool for the first one on the list.

Why it matters to you: for most small businesses, one well-chosen subscription is enough, plus maybe a targeted automation for the most repetitive work. If you don't know which subscription to pick, you'll find the comparison by use case and budget in our guide on which AI subscription is worth it. And once a year, cancel whatever you haven't opened in the past month.

5 · The one-line prompt (and the conclusion that “it doesn't work”)

Dark writing studio with a nearly empty holographic text box on one side and, next to it, a large glowing blueprint full of notes and arrows

“Write me a post about the sale.” Out comes a clean, correct and perfectly useless text: any store in Italy could have written it. From there, the most common conclusion: “AI is no use for my line of work.” In reality the AI did exactly what it was asked, which is almost nothing.

Think of a newly hired employee. You would never just tell them “write a post” and leave it at that: you'd tell them who you are, who you're talking to, what tone you use, what must never be said, and you'd show them a post you liked. With AI it works the same way.

Why it matters to you: the difference between a generic text and one that sounds like you lies in five lines of context: who you are, who you're writing to, the goal, an example, what to avoid. Write them once, save them, and reuse them every time. You'll find the rules with before/after examples in our guide on how to write prompts that actually work.

6 · The last two: copy that all sounds the same, and AI used on the sly

Mistake 6 — losing your voice. When every post, email and description comes out of the same chatbot untouched, after a month they all look alike. And they look like your competitors', who use the same tool. A customer who picks a small business does so because there's a person on the other end: if AI erases that difference, you've saved time and lost the reason they chose you. The fix: keep a sheet with your typical phrases and the words you never use, and always add something only you could know — a customer, a detail from the workshop, an opinion.

Mistake 7 — the AI everyone in the company uses, but nobody knows about. The employee who translates emails with one app, the intern who writes posts with another, the owner who pastes quotes into a third. Each with their own free account, nobody knowing where the data ends up. You don't need a twenty-page policy: one page is enough, listing which tools are used, with which account, and what never gets pasted. Plus half an hour to talk it through out loud.

Why it matters to you: these two mistakes don't make headlines, but over time they're the ones that cost the most: the first in customers, the second in data. If you want to put things in order once and for all — which tools, which rules, where AI really pays off in your business — that's exactly what AI consulting for small businesses is for.

In short

AI doesn't do damage on its own: it does damage when we use it without rules. The seven mistakes to avoid are publishing without a second read, pasting confidential data into a chat, letting the chatbot promise discounts and refunds, buying subscriptions before knowing what to solve, writing one-line prompts, losing your own voice, and letting everyone in the company quietly use different tools. The fix, almost always, is the same: the AI prepares, a person checks and decides. An afternoon and one page of written rules are enough to stay on the right side.

Frequently asked questions

Who's liable if my website chatbot promises the wrong refund?

You are. In February 2024, a Canadian tribunal ruled in favor of a customer whom Air Canada's chatbot had promised a refund the airline didn't offer, rejecting the defense that the chatbot was “responsible for its own actions.” On prices, discounts, refunds and warranties, the chatbot has to hand off to a person.

Can I publish AI-written text without checking it?

No: AI makes up numbers, rules, dates and quotes in the same confident tone it uses when it's right. In March 2025, the Court of Florence found rulings of Italy's Supreme Court that didn't exist in a defense brief, “found” by ChatGPT. The AI writes the draft; you reread it and check every number or reference at the source before sending it.

Does a small business need rules for using AI?

Yes, but one page is enough: which tools you use, with which account and what never gets pasted, plus half an hour to talk it through out loud. Without it, everyone uses their own free account and nobody knows where the data ends up. Before pasting, remove names, figures and personal data, and use a business account with training turned off.

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