Shadow AI: your employees already use AI — manage it with a simple policy
The phenomenon
"Shadow IT" is the use of IT tools that the company has not approved. Its younger sibling, shadow AI, is booming: an employee creates a free account on an AI assistant and pastes in a customer contract to summarise it, a price table to analyse it, a delicate email to rephrase it. Nothing malicious — they simply want to save time. But the company knows neither which tools are being used nor which data has left the building.
Why an outright ban doesn't work
Blocking every AI website seems reassuring, but:
- employees will carry on from their personal smartphone, which is even less controlled;
- the company deprives itself of real productivity gains;
- the best people experience it as a hindrance.
The effective answer is to manage it: provide an approved tool, set clear rules, and train people.
The seven points of an effective AI policy
A one- or two-page policy is more than enough for an SME. It must answer these questions:
- Which tools are allowed? (e.g. the business plan chosen by the company, with business accounts only).
- Which data is forbidden? Personal data about customers or colleagues, health data, detailed financial information, trade secrets, passwords.
- How do you anonymise? A few concrete everyday examples.
- Who reviews? Any generated content sent outside the company is reviewed by a human, who takes responsibility for it.
- Transparency: when to state that content was produced with the help of AI (especially for chatbots or public content).
- What to do in case of a mistake? Who to alert if sensitive data has been sent by accident.
- Who is the point of contact? A named person for questions and for keeping the policy up to date.
A regulatory bonus
This approach also meets, in a proportionate way, two legal expectations: data minimisation and security under the GDPR, and the support for staff AI literacy required by the AI Act.
Before rollout: think about your staff
In a Belgian company with at least 50 employees, introducing an AI tool may require informing and consulting staff representatives at least three months in advance (collective labour agreement no. 39). More broadly, presenting the policy to the team before going live is the best way to ensure it is applied. Our checklist before rolling out an AI tool covers all the steps: staff, policy, GDPR and AI Act.
How to get started this week
- Ask your teams anonymously which AI tools they use (the answer will surprise you);
- choose one official tool suited to your environment (our comparison);
- write the policy, present it at a meeting, and plan a short training session.
A template adapted to your business
ExsIT provides an AI policy template adapted to your sector, configures the chosen tool (accounts, security, privacy settings) and runs an awareness session for your teams.