AI representative: key role for sustainable AI strategy in companies

Artificial intelligence is developing rapidly — and with it, the pressure on companies to make well-founded decisions about the use of this technology is growing. But who is responsible for strategy, implementation and acceptance in the company? The answer is increasingly: a AI representative.

This role becomes a crucial link between technology, business strategy and corporate culture. In this article, we look at why it is not enough to hire external consultants — and why it makes sense to establish the role of the AI representative internally.

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What does an AI representative do — and why is he needed at all?

A AI representative is the central interface for all questions relating to artificial intelligence in companies. Unlike consultants employed at short notice, he provides long-term support for the introduction, application and development of AI. This is not only about technical know-how, but above all about strategic integration and cultural anchoring.

Typical tasks of an AI representative:

• Evaluation of AI potential in various business areas
• Translating technical options into specific use cases
• Development of standards, guidelines and ethical guidelines
• Training and awareness raising of employees
• Interface between IT, specialist departments and management

The AI representative ensures that AI is not treated as an individual project, but structurally, strategically and sustainably Gets a foothold in the company.

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Internal rather than external solution: Why the AI representative should come from the company

Many companies rely on external service providers to introduce AI. That brings speed — but not necessarily sustainability. External experts understand models, tools, and technologies, but they often only know the internal structures in a superficial way.

An internal AI representative has decisive advantages:

• He is familiar with corporate culture and informal decision-making processes
• He is trusted by colleagues
• It is available on a long-term basis and can be contacted continuously
• He can accompany change processes instead of just initiating them

Change through AI requires more than good implementation — it requires Trust, contextual knowledge, and continuity. The best way to do all of this is someone who already knows the company from within.

Trust, understanding and communication — the three success factors‍

The introduction of AI often causes uncertainty. Employees are wondering whether their tasks will be eliminated, whether they can keep pace with technology and how decisions will be made in the future.

A good AI representative does not answer these questions with technical answers, but with Empathy and transparency. He or she can:

• Take fears seriously and classify them realistically
• Develop and moderate training offerings
• Communicate technology issues in a comprehensible way
• Ensuring transparency in automated decisions
• Build acceptance — instead of ignoring resistance

Technology alone doesn't change anything. Only when people are involved does real progress occur. The AI representative plays a key role in this.

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Cultural change requires internal support

Artificial intelligence not only changes processes, but also ways of thinking. In future, decisions will be based on data models, not just on experience. Processes are being automated, responsibility is shifting.

These profound changes cannot be imposed “from outside.” They must designed from within by people who not only understand the technology, but also the people they work with.

An AI representative is actively accompanying the change with:

• Communication between management and workforce
• Development of a common understanding of opportunities and limits
• Development of company-specific AI ethics
• Establishing responsible handling of sensitive data

It is not technical excellence that is decisive, but Communication skills, strategic thinking and social intelligence.

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From vision to structure: AI needs governance

The introduction of AI is often started on a project-by-project basis: a use case, a tool, a goal. But in the long term, AI needs Structures and standards — otherwise it will remain an isolated solution instead of a growth driver.

An AI representative develops these structures:

• He coordinates use cases instead of letting them run side by side in isolation
• It ensures interoperability, data quality and technical scalability
• It defines standards for fairness, accountability and transparency
• It ensures that legal requirements such as the AI Act are taken into account

This is how we create a stable foundation, on which AI in companies can grow — not only technologically, but also organizationally.

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How do I find the right AI representative — internally?

The best solution doesn't have to be set — it's often already there. Many companies have employees who have the necessary basics:

• Technical interest or initial experience with AI tools
• Good understanding of internal processes and communication channels
• Acceptance within the organization
• Willingness to take on responsibility and create something new

Instead of looking outwards, it's worth looking inwards. Anyone who communicates openly, provides targeted training and creates development opportunities often finds the right people in their own team.

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The AI representative as an enabler — not as a lone fighter

What is important is that the AI representative is not an isolated position, but part of a network. He acts not as an omniscient decision maker, but as a coordinator, enabler and translator.

He brings people together, initiates learning processes, structures knowledge — and, together with others, drives AI transformation in companies. This requires clear anchoring, mandate and backing from management.

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Conclusion: Anyone who is serious about AI needs an in-house AI representative

External consultants and technical service providers can provide valuable inspiration. But they are no substitute for internal competence, long-term responsibility and cultural roots.

An AI representative from our own ranks knows the company, understands the people and is available in the long term. It creates trust, provides orientation and ensures that AI is not a flash in the pan but a strategic success factor.

AI in companies is not a question of technology, but of organization. That's why successful implementation doesn't start with a tool — but with the right person.

Frequently asked questions about AI representatives

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What is an AI representative?‍

An AI representative plays a central role in coordinating, introducing and strategically supporting AI applications in companies.

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Why should the AI representative be staffed internally?‍

Because internal employees know the company, its culture and processes better — which is crucial for the successful introduction of AI.

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What skills does an AI representative need?‍

Basic technical understanding, communication skills, strategic thinking and a high level of acceptance within the company.

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How do I find suitable people for this role?‍

Through targeted internal tenders, talent promotion and continuing education opportunities in the area of AI and digital transformation.

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Can an AI representative also complement external consultants?‍

Yes — it is not a substitute, but often the decisive link between external expertise and internal implementation.

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