AI Policy for Businesses: Objectives, Content, and Tips for Developing Your AI Policy

AI is now part of the daily routine for approximately 36 percent of German SMEs. ChatGPT, Gemini, and similar tools, for example, help to automate processes or take on complex tasks and support quality improvement. In most cases, externally developed tools are used; only a few organizations develop their own AI solutions.  

But whether free, purchased, or self-developed: anyone using AI needs clear and binding guidelines for the use of these tools, in addition to AI-trained employees.

What is an AI policy for businesses?

An AI policy, also known as an AI Policy or AI usage policy, serves precisely this purpose. It is a binding set of rules designed to ensure the safe handling of ChatGPT and other AI systems and answers typical user questions.  

An AI policy defines, for example,

• which AI tools are permitted
• which data may be entered into the AI systems
• whom employees can contact in case of AI incidents
• who approves new tools
• how data protection and IT security are ensured
• which AI training courses are mandatory for employees

What risks exist for organizations without an AI policy?

If the use of AI within the company is not clearly regulated and there is a lack of AI expertise among the workforce, compliance and data protection within the organization can no longer be guaranteed.  

For example, if an employee uses their private ChatGPT account to analyze last quarter's sales figures, confidential data could end up on US servers. If this GDPR violation comes to light, fines and reputational damage could ensue.  

Further scenarios that can arise from unregulated AI use:

Creating an AI Policy: 5 essential points for your AI guidelines

An effective AI policy must contain clear guidelines on how employees can safely use AI in their daily work. It serves as a guide that answers all questions regarding AI use in an understandable way.  

Therefore, the policy should not only show what is allowed and forbidden. It should also clarify who is available for questions and what to do in the event of an AI incident.  

Your AI policy should include the following five key points:

1. Scope and approved AI tools

Clearly define which AI tools your employees are permitted to use and which are prohibited. Name the tools specifically, for example, "Microsoft Copilot Business" and "ChatGPT Free." Also, define for what purposes and with what data each tool may be used. This prevents wild shadow AI from emerging in your organization.

💡 A simple table with "Allowed ✓" and "Not allowed ✗" provides clarity and an overview.

2. Rules for data protection and GDPR-compliant use

It should be clearly defined which data must never be entered into AI tools . This particularly includes personal data such as customer names or trade secrets.

💡 A short prompt checklist can offer guidance to employees. Important to-dos before prompting could include carefully removing personal data such as names and contact details before inputting, and asking yourself before each input: "Would I send this information to a stranger?"

3. Details on Training Obligations and AI Proficiency

The EU AI Act has required companies as of 2025 to train their employees in the use of AI, to build AI proficiency.In your AI usage policy, define which training content is mandatory.

💡 Document all training dates and attendances – you must be able to provide this information during audits. Plan for annual refreshers, as AI is developing rapidly.

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4. Responsibilities and Governance

Define who monitors compliance with the AI Policy, who approves new tools, and to whom employees can turn in the event of an AI incident. Ideally, an AI officer and an AI governance team will handle these tasks. Precisely define the responsibilities of the AI officer and the core tasks of the governance team.  

💡 Also define how often the policy is reviewed. An annual review at minimum is recommended.

5. Documentation and Reporting Obligations

Maintain an AI system register and document which tools are used where, by whom, and for what purpose. Also document all training sessions, Data Processing Agreements and for high-risk AI, additionally the technical documentation.  

This information is important in case a security incident occurs in connection with AI. This includes malfunctions as well as compliance violations in connection with shadow AI or Data-Breaches due to the input of personal data.

To ensure your team doesn't lose time during data breaches or AI incidents, the AI policy should include clear reporting processes.

💡 Document in table form which categories of incidents are reportable and who needs to be informed. Add a practical example for each category.

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