Shadow AI in the company: risks & solutions

Shadow AI (English “Shadow AI”) refers to AI tools that employees use for work without the company’s knowledge or approval, for example a private ChatGPT account for customer emails, a free translation app for contracts, or an AI note-taking service in video conferences. The risks range from data protection violations and the leakage of confidential information to unchecked, incorrect results. Prohibitions rarely help, because the benefit for employees is real. Approved tools, clear rules, and training are more effective.

Why Shadow AI emerges

Shadow AI is usually not a sign of rule-breaking, but of initiative: employees have experienced that AI reduces their workload and use it because the company does not offer an alternative. Typical reasons:

There are no approved AI tools, or they are more cumbersome than the private ones.
No one has defined what is allowed, so the implicit rule is: everything that is not prohibited is allowed.
Free tools are available immediately; obtaining approval for an official one takes months.

The risks

Risk	Example	Consequence
Data protection	Customer data or personnel files are copied into a private AI account	Processing without a legal basis and without a data processing agreement
Trade secrets	A quote calculation or source code is uploaded for revision	Loss of control over confidential information
Quality	AI response is sent to customers without review	incorrect information, liability issues
Legal framework	Chatbot without notice in customer contact	Violation of the transparency obligations of the EU AI Act
Dependence	Knowledge and templates are stored in private accounts	is lost when employees leave

In addition, since February 2025, companies have been required under the EU AI Act to ensure sufficient AI competence among their employees. If you do not know which AI tools are being used, you cannot provide targeted training. More on this in the article EU AI Act for SMEs.

Recognize shadow AI

The simplest and most effective approach is an open, non-punitive team survey:

Which AI tools do you use professionally, even occasionally?
For what exactly, and with which data?
What would you like to do with AI, but are not allowed or able to?

The responses show not only risks, but also the actual need and, therefore, which tools are worth officially introducing. In addition, IT can check which AI services appear on the network or in installed browser extensions.

5 steps to structured use of AI

Inventory the existing setup: Survey as above, without assigning blame.
Provide approved tools: For the most common use cases, an official solution with company accounts, a data processing agreement, and processing in the EU where possible. Privacy-friendly options describe the contributions Local AI or ChatGPT? and Open WebUI as a ChatGPT alternative.
Set rules: A short AI policy with permitted tools, prohibited data and review obligations.
Schools: All users learn about possibilities, limitations and rules, see AI competence according to Art. 4.
Name contact persons: A person whom employees can turn to with new ideas and questions, so that new tools are not introduced in secret again.

A central platform such as the automaisa Hub bundles the approved AI functions in one place and makes usage and costs visible.

Why a ban rarely works

A blanket ban on AI may seem safe at first glance, but it often only shifts usage to private devices, where the company has no control at all. At the same time, it forfeits the productivity gains. It is more sensible to take the need seriously and create a secure offering that is more convenient than the workaround.

The Consulting and guided implementation is eligible for funding: Through INQA-Coaching the federal government covers 80% of consulting costs of up to €1,200 per day for up to 12 days, i.e. up to €11,520 in grants. In Mecklenburg-Western Pomerania and the other new federal states, the BAFA consulting grant with 80% is also available until 31.12.2026 (50% in the old federal states). The consulting is funded, not the software. Which program is suitable is shown by the Funding Check.

Frequently Asked Questions

What is shadow AI?

Shadow AI refers to AI tools that employees use for work without the company’s knowledge or approval, such as private chatbot accounts, translation apps, or AI note-taking services.

Is it allowed to use ChatGPT privately for work?

That is up to the company. It becomes problematic as soon as personal or confidential data is entered, because there is usually no legal basis and no data processing agreement in place. An AI policy creates clarity.

Should AI be banned in the company?

A blanket ban usually just shifts usage into the shadows. Approved tools with company accounts, clear rules, and training are more effective.

How can I find out which AI tools are being used in the company?

The most reliable way is an open, non-punitive survey within the team. In addition, IT can check which AI services are being used on the network or as browser extensions.