AI tools explained simply
Shadow AI at work: Your employees already use AI. Better with rules.
The trainee has ChatGPT draft the customer email, the office clerk translates with a free app, the technician photographs the wiring diagram for an AI – everyday practice by now, mostly via private accounts and without the boss knowing. This is called shadow AI, and the risk lies less in the tools than in flying blind. The solution is not a list of bans but a simple policy you can set up in one afternoon.
- Why bans fail
- The 6 core rules
- Rollout step by step
- Last updated: October 2026
Why bans do not work.
AI tools save real time – anyone who has used them once for emails, translations or drafts will not give that up. A ban merely pushes the use underground: onto private phones, into after-hours accounts, beyond any oversight. That is exactly where the real risks arise – customer data in free tools, unchecked AI texts sent to clients, nobody knowing what was entered where.
The better stance: allow the use, set guardrails. That is also the direction of the EU AI Act – whoever uses AI in a business is expected to brief staff appropriately.
The six core rules for your business.
- No customer or personnel data in AI tools – names, addresses, quotes and contracts stay out unless there is a vetted company account with a data processing agreement
- Protect trade secrets: calculations, drawings and internal documents do not belong in free accounts
- Check results: AI answers are drafts – everything that goes out is proofread by a human
- Company accounts instead of private ones: the business provides the tools, so it also knows where the data lives
- Label where needed: where customers talk to AI directly, it is recognisable
- Name a point of contact: one person collects questions, tools and experience
More depth on the data protection side – what exactly may be entered and how account types change that – is in the guide ChatGPT and data privacy.
Introduced in one afternoon.
First: ask your team which tools are already in use – without blame; you want an honest picture. Second: write the six rules on one page, in your own words. Third: discuss them in a short meeting – with examples from your daily work, not with legal clauses. Fourth: provide a company account for the most important use cases so nobody has to fall back on private accounts.
Which tools are worth it for which purpose is covered in the AI tools guide – from text assistants to automation.
Frequently asked questions.
How do I find out which AI tools my team uses?
Ask – without threatening sanctions. A short, open conversation (“what do you use, for what, what really helps?”) gives a more honest picture than any monitoring, and shows where AI creates the most value in your business.
Does an AI policy have to come from a lawyer?
Not to start with. One page of clear rules in plain language, modelled by the boss, achieves more than a twenty-page document. With works councils, group structures or sensitive industries, the policy should additionally be reviewed legally.
What about free AI accounts?
Fine for harmless things – phrasing help, general research. As soon as customer data or internals are involved, a company account is needed where data processing and training use are contractually settled.
Does the policy apply to the boss too?
Especially to the boss. Anyone dumping their own calculations into a free tool cannot expect discipline from the team – leading by example beats decreeing.
Prefer not to handle this yourself?
Tell me briefly what it is about – you get an honest assessment and a personal first conversation.
