AI in the Workplace: What Employers Must Know About the AI Act, GDPR and Employee Monitoring

Artificial intelligence is no longer a future workplace technology. It is already being used in recruitment, employee monitoring, performance evaluation, workforce planning, and internal decision-making across organisations of all sizes.

Many employers view AI primarily as an efficiency tool. However, from a legal perspective, AI introduces a range of employment, privacy, governance, and compliance risks that require careful assessment before implementation.

Where AI is already being used

In practice, workplace AI systems increasingly support:

• CV screening and candidate ranking
• Automated recruitment assessments
• Employee productivity monitoring
• Performance scoring and analytics
• Internal investigations
• Workforce planning and allocation of tasks
• Risk and compliance monitoring

While these tools may improve efficiency, they also create legal obligations that employers cannot ignore.

AI does not remove employer responsibility

One of the most common misconceptions is that responsibility sits with the software provider. It does not.

Even where decisions are assisted by AI, employers remain responsible for ensuring compliance with employment law, GDPR obligations, anti-discrimination rules, and applicable regulatory requirements.

If an AI-supported recruitment process systematically disadvantages certain groups of candidates, or if employee monitoring becomes excessive, liability will generally remain with the employer.

The GDPR challenge

Most workplace AI systems process significant volumes of personal data. This may include:

• employee identification data;
• performance metrics;
• communications data;
• behavioural information;
• location data;
• productivity indicators;
• recruitment information.

Employers must therefore assess whether data processing is lawful, transparent, proportionate, and limited to what is necessary for the stated purpose.

In higher-risk cases, a Data Protection Impact Assessment (DPIA) under GDPR Article 35 will be required before deployment. The AI Act additionally introduces a separate Fundamental Rights Impact Assessment (FRIA) under Article 27, applicable to public bodies and private entities providing public services, as well as to any deployer using AI systems for credit scoring or life and health insurance pricing.

The AI Act changes the landscape

The EU AI Act introduces a new layer of compliance obligations. Particular attention should be paid to AI systems used for:

• recruitment and candidate selection;
• promotion decisions;
• employee evaluation;
• allocation of work;
• monitoring employee behaviour;
• employment termination decisions.

Many of these systems may fall into the high-risk AI category, triggering additional governance, documentation, transparency, and oversight obligations.

For employers, compliance can no longer be viewed solely through an employment law or GDPR lens.

Employee monitoring requires particular caution

Many organisations are exploring AI-powered monitoring tools that can analyse employee activity, communications, productivity patterns, and behavioural indicators.

These technologies can create significant privacy and workplace relations concerns.

Before implementing such tools, employers should assess:

• whether monitoring is genuinely necessary;
• whether less intrusive measures could achieve the same objective;
• whether employees have been properly informed;
• whether monitoring remains proportionate to the intended purpose;
• whether sufficient safeguards and oversight mechanisms exist.

The fact that monitoring is technologically possible does not automatically make it lawful.

Governance is becoming the real compliance challenge

In our experience, the greatest legal risk rarely comes from the AI system itself. Instead, difficulties arise when organisations cannot demonstrate:

• who approved the system;
• who oversees its operation;
• how decisions are reviewed;
• how bias and errors are managed;
• how employees can challenge outcomes;
• how compliance is documented.

As a result, AI implementation increasingly requires governance structures comparable to those already expected in areas such as cybersecurity, data protection, and regulatory compliance.

Practical steps for employers

Before deploying AI in the workplace, organisations should consider:

• conducting a legal and regulatory assessment;
• reviewing GDPR compliance requirements;
• determining whether a DPIA is required;
• assessing AI Act implications;
• establishing governance and accountability frameworks;
• documenting human oversight procedures;
• updating employee notices and internal policies;
• ensuring a sufficient level of AI literacy among staff operating or using AI systems.

The most successful organisations will not be those that adopt AI the fastest, but those that implement it responsibly.

AI in the workplace is no longer simply a technology issue. It is a governance, employment law, and data protection issue that requires strategic planning and ongoing oversight.

Employers that build strong governance frameworks now will be significantly better positioned to manage future regulatory expectations while benefiting from the opportunities that AI creates.

How ECOVIS ProventusLaw can assist

ECOVIS ProventusLaw advises employers, fintech companies, and regulated organisations on the legal and regulatory aspects of AI deployment in the workplace.

Our team assists with:

• AI governance frameworks for HR and workforce management systems;
• GDPR compliance for employee data processing and monitoring tools;
• Legal assessment of AI-assisted recruitment and decision-making processes;
• Data Protection Impact Assessments (DPIAs) for high-risk AI use cases;
• Workplace monitoring policies, including legal review of surveillance and productivity tools;
• Alignment with the EU AI Act, employment law requirements, and internal governance standards;
• Regulatory risk assessment for AI systems used in regulated financial services environments.

We support clients in implementing AI technologies in a legally compliant, transparent, and defensible manner, ensuring that innovation is aligned with evolving EU regulatory expectations.