Aristotelis Zervos
Aristotelis Zervos, Editorial Director at 2B Advice, combines legal and journalistic expertise in Data protectionIT compliance and AI regulation.
The GDPR and the KI-VO oblige companies not only to comply with regulatory requirements, but also to provide evidence of their Compliance. This proof is provided via various documentation obligations: from the list of processing activities to the technical and organizational measures (TOM) to reports on data protection impact assessments (DPIA). In practice, however, many companies either document too much (excessive bureaucracy) or too little (risk of sanctions). The right approach lies in the middle: an efficient, risk-oriented Documentationwhich is both test-proof and slim.
What documentation obligations exist under the GDPR?
- List of processing activities (Art. 30 GDPR)
The List of processing activities is one of the most important obligations under Art. 30 GDPR. Almost every company must record in it the purposes for which personal data The data protection policy must also document the categories of data processed, which categories are affected, to whom data is disclosed and how long it is stored. The security measures used must also be documented.
- Technical and organizational measures (Art. 32 GDPR)
In addition, companies must implement their technical and organizational measures (Art. 32 GDPR) document. This is about how the data is protected. This can be done, for example, by Encryptionaccess controls or regular backups.
- Data protection impact assessment (Art. 35 GDPR)
In addition, there is an obligation to Data protection impact assessment (Art. 35 GDPR), if a Processing poses a high risk to the rights and freedoms of data subjects. These analyses include both a risk assessment and the planned countermeasures.
- Further evidence
In addition, deletion concepts, training protocols and evidence of the processing of data subjects' rights play an important role. Not every detail needs to be recorded, but the Documentation must be consistent, up-to-date and verifiable at all times.
Tip: Manage your processing directory more easily and efficiently than ever before with Ailance RoPA
Example: Interface to the AI Regulation (AI Act)
The AI Act, which has already come into force, also requires a comprehensive Documentationespecially for high-risk AI systems. GDPR documentation and AI compliance are intertwined here.
Companies must first categorize their systems into risk classes: unacceptable risk, high risk, limited risk or minimal risk. Strict obligations apply to high-risk systems. For example, they must have a technical Documentation data quality, establish a risk management system and fulfill transparency obligations.
A practical example: A company uses an AI-supported applicant management system. As part of the DPIA, the risk to the rights of applicants is assessed. In addition, the AI Regulation requires evidence of the quality of the training data, a Documentation to explain the results and ongoing monitoring of the system.
This clearly shows that those who already keep their GDPR documentation lean but complete can use it as a basis for the AI regulation. Duplication of work can be avoided by consistently exploiting synergies.
Tip: Manage AI projects centrally, audit-proof and legally compliant with Ailance AI Governance
Typical errors in practice: over-documentation and one-off documentation
Over-documentation is a common mistake. Some companies describe their processes in such detail that the documents can hardly be maintained. The result is a confusing directory that nobody can use in an emergency.
The opposite happens just as often: one-off documentation. Here, a document is created once, for example in the course of a project or under pressure from management, and then never updated again. During an audit by the Supervisory authority it quickly becomes apparent that the content is out of date.
Another problem is isolated solutions. If directories, DPIA documents and TOM descriptions are maintained independently of each other, inconsistencies arise. Information on the same Processing can contradict each other, which can undermine confidence in the entire Documentation weakened.
Last but not least, formalism often prevails. Companies focus on forms and tables without considering the actual risks. Everything looks complete on paper, but in practice there is no connection to everyday life. This shows that Documentation is not an end in itself, but a tool for risk management.
Efficient procedure: Step by step
- Define scope
The first step is to clearly define the scope of the documentation obligations. Not everything has to be documented. The mandatory documents are of course indispensable. Additional reports only make sense if they bring real added value. It is also important to prioritize: processes with a high risk, such as the use of AI systems or the Processing more sensitive Health datashould come first.
- Use standards and templates
Standards and templates help to reduce the workload. Uniform formats for directories, DPIA reports and TOM descriptions ensure that nothing is forgotten. Recurring purposes or Legal basis can be mapped with text modules. Checklists ensure that the key points are taken into account even for complex topics such as third country transfers.
- Documentation Integrate into day-to-day business
The Documentation should be integrated into day-to-day business. New projects undergo a data protection check before they are released. Every change in processes or IT systems automatically leads to an update in the directory. The principle of lean Documentation: The principle of lean design applies DocumentationOnly the relevant facts are recorded, no superfluous details.
- Use tools & automation
Modern tools such as Ailance and the automation options they contain make this process easier. Data protection management or GRC systems make it possible to enter data once and use it multiple times. Reports for audits can be generated automatically. A central repository with clearly defined roles and access rights prevents version chaos.
- Ensure maintenance and updating
Finally, regular maintenance of the databases is important. Review cycles (quarterly for high-risk processes and annually for standard processes) ensure up-to-dateness. Responsibilities must be clearly assigned, for example by "data owners". Change triggers should also be defined: New software or new purposes are reasons to Documentation to be checked immediately.
Practical tips for lean proofs
A good Documentation is also aimed at the various target groups within the company. Management summaries, which summarize the core of the company, are suitable for the management. Documentation summarize. At the same time, the detailed documentation should be prepared in such a way that it can be accessed at any time. Audit is available. Versioning shows that ongoing maintenance is taking place. It is also worth making the presentation risk-oriented. Processes with a major impact are emphasized more than routine processes.
Tip: Ailance DSB - the AI-supported platform for smart data protection advice
Conclusion: documentation obligations successfully under control
The documentation obligations according to GDPR and AI Regulation are necessary, but must not lead to excessive bureaucracy. A risk-oriented and integrated approach ensures that the documents remain both audit-proof and manageable. Clear priorities, standardized templates, digital support and regular reviews are key success factors.
Companies that follow this path not only fulfill the GDPRbut also lay the foundation for meeting all new regulatory requirements, such as the AI Regulation.
Smart fulfillment of documentation obligations with Ailance
Would you like to efficiently fulfill your GDPR documentation obligations and at the same time benefit from synergies with the upcoming AI regulation? Then Ailance would be the perfect solution for your company. Meet your documentation obligations with just one click. The reporting is generated automatically and can be easily tailored to the needs of your company and your Compliance be created.
Contact our experts and find out how we can support you with tried-and-tested tools and methods.
Aristotelis Zervos is Editorial Director at 2B Advice, a lawyer and journalist with profound expertise in data protection, GDPRIT compliance and AI governance. He regularly publishes in-depth articles on AI regulation, GDPR compliance and risk management. You can find out more about him on his Author profile page.
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