Most Supervisory Boards and Management Boards in Poland are currently making a serious mistake. They treat the so-called AI Policy as yet another dull, generic internal regulation — something similar to a company car policy or a routine GDPR formality.
This is strategic short-sightedness. In reality, of 2026, it may expose a person to personal civil and financial liability.
In a premium business context, an AI Policy is not a document hidden away in a drawer. It is documentation of business transformation and the new operating system of a safe company.
Why Is the Management Board Personally Responsible for the Lack of an AI Policy?
Under the EU AI Act and market standards such as ISO/IEC 42001 and NIST AI RMF, organisations are expected to manage algorithmic risk. In addition, the law requires organisations using AI systems to ensure an appropriate level of AI literacy among all people using AI on behalf of the company.
If your employees, sales teams, marketers, or developers are using generative tools – such as chatbots, analytics systems, or code-writing assistants – in a chaotic, silent, and uncoordinated way, the Management Board is operating in a high-risk environment.
In the event of a data leak, a GDPR breach, an algorithmic error resulting in financial loss to a client, or copyright infringement, the lack of a systematic AI Policy constitutes hard evidence of negligence and a failure to exercise due care.
Let us be clear: under the Business Judgement Rule, the absence of a professional diagnosis and technology strategy may weaken the legal protection of Management Board members. In that situation, you may be exposed personally, with your own private assets.
The AI Policy 3.0 Framework: 25 Safety Points
A professional AI Policy developed by Booster of Innovation, version 3.0, is a holistic ecosystem divided into 25 key control points. It covers the full management spectrum, organised into four strategic blocks:
- Foundations and Governance
The purpose of the policy, its scope, definitions of tools, and a clear division of roles and responsibilities within the company.
- Risk and Security Architecture
Risk classification in line with the AI Act, a register of use cases, personal data protection under GDPR, confidentiality and trade secrets, as well as cybersecurity, including MFA and Shadow AI.
- Ethics, Quality and Operating Standards
The human-in-the-loop principle, transparency towards clients, non-discrimination, copyright, code cleansing and safe prompting.
- Culture and System Maintenance
Documentation of AI use, incident management, team upskilling, continuous monitoring and a culture of responsibility.
You do not need to be a technology expert to protect your company. However, you do need to show that you have taken appropriate management action.
🎯 Take the first step and protect your Management Board:
Do not allow technological lawlessness to operate inside your company. Book a short, 15-minute strategic meeting. During the session, we will conduct a quick assessment of your organisation’s readiness and identify gaps in AI legal security.
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