A company of twenty-five people. No IT department, no security officer, just people getting their work done. And those people use AI. One has ChatGPT polish a proposal, another summarises a client call, a third rewrites an awkward email. Nobody told them to, and nobody told them not to.
As the owner, you know this happens. You also know that customer data sometimes ends up in those tools. But it feels too big to tackle: AI policy, frameworks, a whole programme. So it stays on the to-do list.
The good news: it does not have to be big at all.
You don't need a large AI programme
Most advice on safe AI use is written for large organisations, with a security team and a budget for lengthy projects. For a smaller business, that rarely works. You have neither the time nor the people, and you don't need them.
What you do need is something practical that works with the tools your people already use. Not a thick policy document that disappears into a folder, but help at the moment things go wrong. That is not settling for less. For a small business, it is the better approach.
The risk is everyday behaviour, not a major attack
When most people think of a "data breach", they picture a hacker. In practice it almost never works that way. It is everyday haste: a colleague quickly pasting a customer file into ChatGPT for a summary, name, phone number and all. No bad intent, just a busy day.
It happens more often than you think. In small businesses especially, AI use tends to run through free tools on personal accounts, with nobody keeping track. One such moment, with the wrong data, can be a breach you have to report. For a large company that is a nuisance. For a small one, it can hit hard.
So the right question is not "do we have an AI problem" but "would I notice if something went wrong". And that is something you can deal with in a practical way.
How to make it practical
BeeSensible is not a system you have to manage. The browser extension adds a layer where your people already work. Here is what that looks like in practice.
Someone types or pastes something into ChatGPT, an email or another web app. While they do, BeeSensible recognises sensitive data: a name paired with an account number, an IBAN, a national ID number, a phone number. Each one is highlighted before anyone has even pressed send.
The employee then decides: mask it, remove it or send it anyway. BeeSensible blocks nothing of its own accord. Masking happens automatically on paste or on send only if your organisation has switched that on. Otherwise it simply makes visible what is there. The analysis runs in memory in a European environment, and the text is discarded after the check. None of it is stored.
Here is what that looks like the moment someone pastes customer data into an AI tool:
Outlook
