In most cases, an AI-powered email assistant falls under the “limited risk” or “minimal risk” category under the AI Act, provided that the system is used exclusively for drafting, sorting, or replying to emails without making decisions that have significant consequences for people. The exact classification depends on how the system is used: as soon as an email assistant profiles natural persons or supports decision-making in areas such as lending, the labor market, or essential services, the system may fall into the high-risk category. In this article, we answer the most frequently asked questions about compliance, transparency, data protection, and human oversight for organizations that use or are considering an AI email assistant.
Under the AI Act, which risk category does an AI-powered email assistant fall into?
An AI-powered email assistant generally falls under the “limited risk” or “minimal risk” category of the AI Act. Limited-risk systems are subject to light transparency requirements, while minimal-risk systems remain largely unregulated. Only when the system performs profiling or supports decision-making in sensitive areas does it fall under the high-risk category.
The AI Act defines four risk levels: prohibited practices, high risk, limited risk, and minimal risk. A standard email assistant that categorizes emails, prioritizes them, or drafts replies generally does not fall under any of the eight high-risk domains listed in Annex III. These domains include, among others, biometrics, creditworthiness, employment, and access to essential services.
However, there are situations in which an email assistant can indeed be classified as high-risk:
- The system analyzes emails to build customer profiles that are used for credit or insurance decisions.
- The assistant supports hiring decisions in a recruitment or HR context based on incoming job application emails.
- The system processes messages related to government or legal proceedings in which citizens’ rights are at stake.
- The assistant performs profiling of individuals, because that is always high-risk, regardless of the context.
As a provider or deployer, it is advisable to prepare a documented risk analysis when implementing an email assistant. If you can demonstrate that the system performs only a narrow procedural task and does not pose a significant risk to fundamental rights, it may fall outside the high-risk category, provided you document this properly.
What transparency requirements apply to AI in email communication?
For low-risk AI systems, such as most email assistants, the core obligation is that recipients must be informed when they communicate with or receive a message from an AI system. This is the transparency requirement under the AI Act, which takes effect as soon as the system interacts directly with people or generates content that can be perceived as human.
In practice, this means the following for email communication:
- When an email assistant sends fully automated replies on behalf of an employee or organization, the recipient must be able to tell that the communication was (partly) generated by AI.
- If the assistant drafts messages that an employee then sends, the transparency requirement does not automatically apply, because a human bears ultimate responsibility.
- Organizations must state in their privacy policy or terms and conditions that AI is used in the processing of incoming and outgoing communications.
For GPAI models—such as large language models that serve as the basis for an email assistant—additional obligations apply to the model provider itself: technical documentation, information about training data, and a copyright policy. As a deployer—the party that deploys the model—you benefit from this documentation, but you also bear your own responsibility for using the model correctly in accordance with the provider’s instructions.
How does the AI Act affect the handling of personal data in email automation?
The AI Act does not regulate the handling of personal data in email automation on its own, but operates alongside the GDPR. The two sets of regulations overlap: the AI Act sets requirements for the AI system itself, while the GDPR regulates the processing of personal data. In practice, this means that both frameworks apply simultaneously to email automation.
Specifically, the AI Act affects data processing in email automation in the following ways:
- Training Data: Providers of high-risk AI systems must use training data that is representative, as error-free as possible, and free from inappropriate bias. If your organization trains an email assistant itself using historical email data, strict requirements apply to the quality and representativeness of that data.
- Automatic logging: High-risk systems must automatically log events throughout their lifecycle. As a deployer, you are required to retain these logs for at least six months.
- DPIA Requirement: When an email assistant processes personal data in a manner that is high-risk within the meaning of the GDPR, you must conduct a data protection impact assessment. The AI Act reinforces this requirement by requiring deployers to take this into account under Article 26.
- Right to an Explanation: Individuals who are subject to a decision made by a high-risk AI system may, pursuant to Article 86 of the AI Act, request an explanation of the factors that determined that decision.
For most email assistants that are not classified as high-risk, the GDPR remains the primary framework for data protection. Nevertheless, it is prudent to also follow the AI Act principles—such as data minimization and avoiding bias in automated processing—as part of responsible AI use.
What are the requirements regarding human oversight for an AI email assistant?
For high-risk AI systems, the AI Act stipulates that human oversight must be effectively possible and that the individuals performing this oversight must be competent and trained. For email assistants that are not classified as high-risk, there is no legal requirement for human oversight, but the legislature strongly encourages it as part of responsible use.
The law makes an important distinction between the responsibilities of the provider and the deployer. The provider must adopt a design that makes human oversight technically feasible, including awareness of automation bias: the tendency of people to accept AI outcomes uncritically. The deployer—the organization that actually deploys the email assistant—must then ensure that qualified employees actually carry out this oversight.
In practice, this translates into a number of specific measures:
- Designate one or more employees to be responsible for supervising the email assistant and document this.
- Ensure that employees are informed before the system is put into use, as required by Article 26(7) of the AI Act.
- Establish a process in which automated decisions or responses are periodically reviewed for accuracy, tone, and potential bias.
- Make it technically possible for employees to override or correct AI output without any barriers.
Even when human oversight isn’t required by law, it protects your organization from reputational damage and complaints. An email assistant that sends incorrect or inappropriate messages without any oversight can lead to customer dissatisfaction that is difficult to reverse.
How does an organization demonstrate that its AI email assistant is compliant?
An organization demonstrates compliance through a combination of documentation, internal policies, and verifiable use in accordance with the provider’s instructions for use. For email assistants in the low-risk category, no formal conformity assessment is required, but thorough documentation is the foundation of any compliance strategy.
The following steps will help you demonstrate that your email assistant is compliant:
- Conduct a risk analysis and document the criteria used to classify the system as low risk or minimal risk. Describe the intended use, the processing operations, and any exclusions of high-risk applications.
- Check the provider’s documentation. If you use an external AI platform, request the technical documentation, the user manual, and—for GPAI models—the summary of training data. Keep these documents on file.
- Establish internal policies for the use of the email assistant: who has access, how logs are stored, who is responsible for oversight, and how employees are informed.
- Conduct a DPIA if the system processes personal data in a way that poses risks, and link it to your GDPR policy.
- Document employee training and awareness regarding AI literacy, a requirement that has been in effect since February 2, 2025, under Article 4 of the AI Act.
For organizations that use an email assistant as part of a broader customer engagement platform, it is advisable to conduct a comprehensive assessment of the compliance of all AI components. Systems that are individually classified as low-risk may have a higher risk profile when combined with other systems.
How Pegamento Helps with an AI-Compliant Email Assistant
At Pegamento, we understand that compliance with the AI Act can feel complex and time-consuming for many organizations. At the same time, we see that a well-designed AI-driven email processing system offers enormous operational benefits, from faster processing to improved customer satisfaction. Our approach combines both of these objectives.
What we offer to organizations that want to implement an AI email assistant:
- Customized solutions using standard building blocks, so you don’t need costly custom work but still get a system that fits your processes and risk profile perfectly.
- Agentic AI as an evolution of traditional automation: our assistants don’t just follow instructions; they act independently and take the initiative where it is appropriate and compliant.
- Everything under one roof: from implementation and integration with existing systems to management, monitoring, and support with documentation for AI Act compliance.
- ISO 27001-certified information security as the foundation, supplemented by ISO 9001 and ISO 26000, so you can count on a provider that adheres to the highest standards itself.
- Support with risk analysis and documentation, so you can demonstrate that your email assistant complies with the applicable requirements of the AI Act and the GDPR.
Would you like to know what an AI email assistant could look like for your organization—one that’s both compliant and effective? Contact our team, and we’d be happy to work with you to find a solution.
Frequently Asked Questions
What happens if my email assistant is initially classified as a limited risk, but I add new features later?
As soon as you expand the use or functionality of an AI email assistant, you must perform the risk analysis again. For example, a system that starts out as a simple email sorting tool but later also builds customer profiles or processes HR-related emails may shift into the high-risk category. Therefore, make sure your risk analysis is a living document that you update with every significant change to the system or its use.
Does the transparency requirement also apply to internal emails within my organization?
The transparency obligation under the AI Act primarily focuses on situations where an AI system communicates with natural persons outside the organization. For entirely internal communication between employees, the obligation is less strict, but it is advisable to also make it clear internally when content has been generated by AI. This prevents confusion and promotes mindful use, which is also in line with the AI literacy requirement under Article 4 of the AI Act.
How do I handle historical email data if I want to train my own email assistant?
Historical email data almost always contains personal data, which means you must comply with both the AI Act and the GDPR. First, conduct a DPIA and ensure you have a valid legal basis for processing. Remove or anonymize data that is not strictly necessary for training, and check the data for bias—such as an unbalanced representation of certain customer groups or language patterns—before training the model.
What is the risk if my organization fails to comply with the transparency requirements?
Failure to comply with the transparency obligations under the AI Act may result in fines from the national supervisory authority—in the Netherlands, this is expected to be the Dutch Data Protection Authority or an AI authority yet to be designated. Fines for violations of the transparency rules can amount to 15 million euros or 3% of global annual revenue. In addition to financial risks, you also risk reputational damage if customers discover that they have interacted with an AI system without being informed.
Do I need to actively train employees on how to use the AI email assistant to comply with the AI Act?
Yes, Article 4 of the AI Act requires both providers and deployers to ensure that employees working with the system have sufficient AI literacy. This does not have to be extensive training, but employees must understand how the system works, what its limitations are, and how to critically evaluate its output. Document these training sessions, as demonstrable awareness is an important part of your compliance file in the event of an audit.
How often do I need to review my risk analysis and compliance documentation?
There is no legally mandated review frequency for low-risk systems, but best practice is to review the documentation at least annually and whenever there is a relevant change to the system, its use, or the regulations. Also keep an eye on guidance from the European Commission and national regulators, as the AI Act is a relatively new law whose interpretation and implementation guidelines are still being further developed.
As a small organization, can I still comply with the AI Act without a large compliance department?
Absolutely. For email assistants in the low-risk or minimal-risk categories, the obligations are manageable, even for smaller organizations. Start with a concise but documented risk analysis, request the available technical documentation from your AI vendor, and draft a simple internal usage policy. If you work with an AI partner that offers compliance support, such as Pegamento, you can handle much of the documentation work together without needing your own legal team.
