AI applications rarely arrive in companies with a formal launch date. Most often, individual employees start using a text generator, a department tests an analytics tool, and the IT department evaluates a new platform at the same time. After a few months, numerous AI systems are in use, but no one can say for sure who approved them or what rules apply.
An AI officer can bring these scattered activities together. He or she fosters transparency, coordinates responsibilities, and supports the company in using artificial intelligence safely, effectively, and in compliance with the law. This is an important governance function, not a legally mandated position for every company.
An AI Officer is a central point of contact within an organization for the use of AI. This role bridges the gap between executive management, IT, data protection, information security, compliance, and line-of-business departments.
The term is not legally defined. Accordingly, there is neither a binding job description nor a prescribed organizational structure. Companies can fill the role internally or externally, structure it as a part-time position, or integrate it into an interdisciplinary AI committee.
What matters is not so much the title on the business card as the actual involvement in company operations. An AI officer without information, responsibilities, or access to the relevant departments would be one thing above all else: a fancy title.
No. The EU AI Act does not generally require companies to appoint an AI officer. Unlike the General Data Protection Regulation and the role of the data protection officer, the AI Act does not provide for a comparable statutory position for companies of certain sizes or engaged in certain activities.
However, the AI Act requires providers and operators to fulfill the obligations that apply to them. Depending on their role and the AI system used, these include, for example, measures to promote AI literacy, documentation requirements, human oversight, and risk management guidelines. The regulation thus prescribes specific tasks but largely leaves the internal organization up to the company.
An AI officer can help coordinate these obligations systematically. This does not transfer responsibility away from management. After all, a new job title does not amount to a “remote control” under corporate law.
The specific job description depends on the company’s size, industry, use of AI, and risk profile. In practice, the following activities are particularly relevant:
There is neither a legally required education nor a mandatory certification for this role. Therefore, a weekend course alone is not enough to qualify someone as an AI Officer. Conversely, the position does not necessarily have to be filled by someone with a Ph.D. in computer science.
Rather, what is required is a solid combination of a basic technical understanding, knowledge of the EU AI Act, and an understanding of business processes. This is complemented by experience in areas such as data protection, information security, contract management, and compliance.
Organizational skills are just as important. The AI officer must be able to consolidate information from various departments, explain risks in a clear and understandable way, and document decisions. Communication skills are not just a nice-to-have; they are part of the job description.
The functions overlap, but each has a different focus:
In principle, a person may hold multiple positions. However, it should first be determined whether that person has sufficient time, expertise, and independence, and whether any conflicts of interest might arise. A clear delineation of responsibilities is particularly necessary when a data protection officer is appointed to serve in a dual capacity.
For this role to be effective in practice, the AI officer needs a written mandate. This mandate should define responsibilities, authorities, reporting lines, and points of contact.
The organizational structure includes, in particular:
This role should be integrated early on in the procurement, development, and implementation of AI systems. While a review conducted shortly before the system goes live is better than none at all, it is not particularly elegant.
An in-house AI officer has a particularly deep understanding of the organization, its processes, and the people involved. At the same time, he or she needs sufficient time to fulfill this role and must continuously pursue professional development.
An external AI Officer can contribute specialized knowledge, an independent perspective, and proven governance structures. This is particularly appealing to medium-sized companies, for which establishing a dedicated in-house position would not be cost-effective.
A hybrid model is also possible: An internal point of contact coordinates day-to-day operations, while external experts provide support with legal assessments, risk issues, training, and the establishment of governance frameworks. K11 offers an external AI Officer role for this purpose, tailored to the company’s actual structures.
The practical value of this role increases as soon as AI is no longer just tested on an ad hoc basis but is integrated into relevant business processes. This is especially true when:
The specific obligations that apply do not depend solely on the technology used. The decisive factors are the company’s role, the intended use, and the legal classification of the system. For a more in-depth overview , see our article “EU AI Act: What Obligations Apply to Your AI System?”
Are “AI Beauftragter” and “AI Officer” the same thing?
In business practice, the two terms are usually used interchangeably. Since the role is not defined by law, the specific job description should always be explicitly defined.
Does every company have to appoint an AI officer?
No. The EU AI Act does not contain a general requirement to appoint an AI officer. However, this role can still be useful for implementing legal and organizational requirements in a coordinated manner.
Can the data protection officer take on this role?
In principle, this may be possible. However, expertise, available resources, the necessary independence, and potential conflicts of interest should be assessed beforehand.
Does an AI officer need certification?
No. There is no legally required certification. What matters most is demonstrable expertise and the ability to implement AI governance in practice within the company.
Does the AI Officer bear sole responsibility for the use of AI?
No. The role involves coordination and support. Strategic decisions and overall responsibility remain with management and the relevant operational departments.
An AI officer is not a standard position required by law. However, such a role can bridge a critical organizational gap: the gap between technical capabilities, legal requirements, and the actual use of AI within the company.
For the role to be more than just a title, it needs clearly defined responsibilities, robust authority, and well-defined points of contact. When properly established, the AI officer ensures that AI does not slip through the organization unnoticed, but is managed in a transparent and accountable manner. After all, governance works best when it knows exactly what’s going on within the organization.