EU AI Act Readiness in Poland: Governance, Risk Management and Contract Clauses for AI Systems

The EU AI Act will fundamentally reshape how companies design, procure and deploy AI systems across the European Union. For organisations operating in or entering the Polish market, the regulation is not only a matter of legal compliance, but also a strategic question of trust, competitiveness and cross‑border scalability. Businesses that prepare early will be better positioned to negotiate with partners, withstand regulatory scrutiny and leverage AI safely at scale.

Poland is already a regional hub for technology, shared service centres and R&D units of international groups. This makes EU AI Act readiness in Poland particularly pressing. Multinational investors expect consistent AI governance frameworks, robust risk management and clear contract clauses for AI systems that work seamlessly across jurisdictions. Aligning Polish operations with these expectations requires a structured legal and organisational response, not just technical adjustments.

As a corporate and international lawyer supporting foreign investors in Poland, I see that many boards still underestimate the scope of the forthcoming obligations. The Act reaches deep into procurement policies, vendor management, internal control systems and contractual risk allocation. Below I outline the key aspects of EU AI Act readiness in Poland – from governance and risk management to practical drafting of AI system contract clauses – that every organisation should address now.

What does the EU AI Act mean for companies operating in Poland?

The EU AI Act introduces a risk‑based regulatory framework for AI systems, applying to providers, deployers, distributors and importers, regardless of whether they are EU‑ or non‑EU‑based, as long as the AI output is used in the EU. For entities active in Poland, this means that both local subsidiaries and foreign head offices may fall within the scope of the regulation.

Companies will need to classify their AI tools according to risk categories (unacceptable, high, limited and minimal risk), and comply with detailed obligations for high‑risk AI systems. This impacts not only technology vendors, but also banks, insurers, manufacturers, HR service providers and any business deploying AI in safety‑critical or rights‑sensitive contexts in Poland.

From a practical perspective, the Act will interact with existing Polish and EU regimes, including data protection, consumer law, product safety and sector‑specific rules. Effective EU AI Act readiness in Poland therefore requires an integrated, cross‑regulatory compliance strategy rather than a standalone AI checklist.

How should boards approach AI governance and accountability?

Board members and top management remain ultimately responsible for AI governance and overall compliance. Under the EU AI Act, governance is no longer a soft‑law concept but a set of enforceable expectations, particularly in relation to risk management, quality management and transparency.

Companies operating in Poland should formalise AI oversight by clearly allocating roles between the management board, supervisory board and dedicated committees. This includes approving an AI policy framework, monitoring key risk indicators for AI systems, and ensuring that compliance and internal audit functions have sufficient independence and resources.

International groups should further ensure that their Polish subsidiaries are integrated into global AI governance structures. Local management must understand not only Polish legal specifics, but also the group‑wide standards that will be used as a benchmark by foreign investors, partners and regulators.

Key elements of an AI risk management framework under the EU AI Act

For high‑risk AI systems, the EU AI Act requires a documented and continuous risk management system. In practice, this means moving beyond one‑off assessments towards a lifecycle approach, beginning at the design stage and continuing through deployment and decommissioning.

A robust framework usually includes: systematic identification of foreseeable risks to health, safety, fundamental rights and discrimination; evaluation of severity and probability; design of risk mitigation measures; and periodic reassessment as the system or its context changes. Organisations in Poland should ensure that these steps are aligned with existing risk processes (e.g. operational risk in financial services, quality management in manufacturing).

Importantly, the risk framework must be supported by proper documentation and technical and organisational measures. This documentation will often be requested by regulators, auditors, counterparties and – in case of disputes – courts or arbitration tribunals. From a contractual perspective, parties should clearly allocate responsibility for developing and maintaining this risk management system in their AI system contract clauses.

Data governance, training data and Polish regulatory expectations

Data is at the core of any AI system, and the EU AI Act puts significant emphasis on data governance. Providers and, to a certain extent, deployers must ensure that training, validation and testing data sets are relevant, representative, error‑free as far as possible, and free from inappropriate bias.

For companies active in Poland, this requirement must be coordinated with EU and Polish data protection laws, including the GDPR and local guidance from the Polish Data Protection Authority. Where personal data is used, legitimate basis, purpose limitation and data minimisation principles remain fully applicable. In addition, sector‑specific rules (for example, in banking or healthcare) may further restrict data usage.

Practically, investors should introduce clear data governance policies, addressing data sourcing, quality controls, documentation, and access rights within Polish entities. Contractual arrangements with data providers, cloud service vendors and group companies should contain explicit warranties and indemnities concerning data quality, lawful acquisition and compliance with data protection obligations.

How to draft robust contract clauses for AI systems in Poland?

As organisations increasingly rely on external vendors for AI systems, contract clauses become a primary tool to distribute regulatory and operational risks. Under the EU AI Act, deployers may be held responsible if they use AI in ways that breach the regulation, even when they did not develop the technology themselves.

Well‑structured AI system contract clauses should therefore address: allocation of compliance responsibilities (provider vs. deployer), documentation and audit rights, incident reporting, performance guarantees, IP and confidentiality, as well as liability caps and indemnities linked to specific risks such as discrimination, safety incidents or data breaches.

In Poland, these clauses must also be compatible with the Polish Civil Code and, where relevant, consumer protection and labour regulations. International investors should ensure that their Polish‑law contracts are consistent with group‑wide templates, while still reflecting local market practice and enforceability standards.

Allocating liability and indemnities for AI risks

One of the most sensitive issues in EU AI Act readiness in Poland is the allocation of liability for AI‑related damages. The EU is simultaneously working on adjustments to product liability and civil liability rules for AI, which will influence how courts look at causation and fault in AI‑driven incidents.

In commercial contracts, parties usually negotiate complex indemnity and limitation of liability frameworks. For AI, these must take into account not only traditional defects, but also algorithmic bias, unintended discriminatory outcomes, and failures to comply with AI governance requirements. Vendors may be reluctant to accept broad liability where clients independently retrain or significantly modify AI systems.

Organisations should therefore define, in detail, which party controls data inputs, model configuration and deployment context, and link liability provisions to these spheres of control. This creates a more predictable allocation of risk and is more likely to be accepted by sophisticated counterparties in the Polish and wider EU market.

Governance of third‑party AI vendors and supply chains

From a compliance perspective, using a third‑party AI vendor does not eliminate a deployer’s obligations under the EU AI Act. Companies in Poland must implement strong vendor governance practices, particularly when they rely on complex AI supply chains involving cloud services, APIs and pre‑trained models.

Due diligence on vendors should cover their technical capabilities, security posture, regulatory track record and readiness for EU AI Act compliance. This assessment should be documented and periodically updated. Contracts must provide sufficient transparency rights, including access to technical documentation or relevant conformity assessments, while respecting trade secrets and IP.

International groups should also consider group‑level policies determining which AI vendors may be used in Polish operations, and under what conditions. This reduces fragmentation and supports consistent AI governance across jurisdictions.

Human oversight, transparency and user information duties

The EU AI Act places strong emphasis on human oversight and transparency. Deployers of high‑risk AI systems must ensure that appropriate human control mechanisms are in place, enabling intervention or system shutdown where necessary to protect health, safety or fundamental rights.

In practice, this requires clear internal procedures defining who is authorised to override the system, under what conditions, and on the basis of what information. Staff must be trained to understand limitations of AI outputs and to avoid over‑reliance on automated recommendations – particularly in sensitive areas such as HR, credit scoring or access to public services in Poland.

Transparency duties also extend to users and, in some cases, affected persons. Where AI interacts directly with individuals, they may need to be informed that they are dealing with an AI system. Contracts with service providers should ensure that such obligations are clearly assigned and that necessary information is made available in Polish and, where required, other relevant languages.

Interaction with Polish labour law and AI in HR processes

Many companies plan to deploy AI systems in recruitment, performance evaluation and workforce management. Under the EU AI Act, certain HR‑related AI applications may qualify as high‑risk, triggering strict obligations for risk management, data governance and human oversight.

In Poland, this area intersects with labour law protections, including non‑discrimination, privacy, and collective rights. Employers must be prepared to justify how AI‑driven decisions are made, ensure that employees can challenge outcomes and avoid practices that may be perceived as unlawful monitoring or automated decision‑making.

Employment contracts, internal regulations and agreements with HR technology providers should be updated to reflect these realities. Particular attention should be paid to contract clauses for AI systems that define responsibilities for bias testing, validation and ongoing monitoring of HR algorithms.

Practical roadmap: how can companies achieve EU AI Act readiness in Poland?

A structured roadmap for EU AI Act readiness in Poland typically includes several steps. First, organisations should perform an AI inventory, mapping all existing and planned AI systems in their Polish operations and classifying them by risk category. Second, they need to identify roles (provider, deployer, distributor, importer) for each system, as regulatory obligations differ accordingly.

Third, companies should design or adapt their AI governance and risk management frameworks, integrating them with existing compliance structures. Fourth, a comprehensive review of contractual documentation is necessary, covering vendor agreements, intra‑group arrangements, data processing contracts and customer‑facing terms.

Finally, training and change management are essential. Management, legal, compliance, IT and business teams in Poland must understand not only the letter of the EU AI Act, but also its practical implications for daily operations and strategic decision‑making.

How a specialised Polish law firm can support your EU AI Act strategy

Considering the complexity of the EU AI Act and its interaction with Polish law, many international investors choose to work with local counsel experienced in technology, corporate and regulatory matters. A tailored, jurisdiction‑specific approach is often indispensable for negotiating effective contract clauses, designing AI governance structures and handling regulatory inquiries.

Kopeć Zaborowski Adwokaci i Radcowie Prawni offers comprehensive support for foreign and domestic clients preparing for EU AI Act readiness in Poland. The firm assists in AI audits, risk assessments, drafting and negotiating contract clauses for AI systems, and aligning group‑wide AI policies with Polish legal requirements. Engaging specialised counsel early can significantly reduce implementation costs, mitigate enforcement risks and increase trust among your business partners and regulators.

Conclusion: turning EU AI Act compliance into a strategic advantage

The EU AI Act should not be seen merely as a regulatory burden. For companies active in Poland, it is also an opportunity to build stronger AI governance, improve risk management, and establish clearer, more balanced contract clauses for AI systems throughout the value chain. Organisations that act proactively will be better positioned to attract investment, secure partnerships and scale AI‑driven services across the EU.

By investing now in governance structures, legal documentation and cross‑functional training, boards can turn EU AI Act readiness in Poland into a core component of their long‑term digital strategy. In a market increasingly shaped by trust, accountability and regulatory scrutiny, this may prove to be a decisive competitive advantage.

Bibliography

• Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828.
• European Commission, “Questions and Answers: EU Artificial Intelligence Act”, official factsheets and briefings, 2024.
• European Commission, “Coordinated Plan on Artificial Intelligence 2021 Review”.
• European Union Agency for Fundamental Rights (FRA), “Getting the future right – Artificial intelligence and fundamental rights”, 2020.
• European Data Protection Board (EDPB) & European Data Protection Supervisor (EDPS), Joint Opinion 5/2021 on the proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence.
• Polish Office for Personal Data Protection (UODO), guidelines and decisions concerning automated decision‑making and profiling under GDPR (selected cases, 2018–2024).
• OECD, “OECD Principles on Artificial Intelligence”, 2019.