My professional journey has always taken place at the intersection of two worlds that, for a long time, were treated as separate: technology and leadership.

With a background in business informatics, I started my career in organizational development, analyzing and improving business processes and translating them into opportunities for automation. It quickly became clear to me that while technology and processes are fascinating, the decisive factor in any transformation is people.

This realization eventually led me into HR and, from there, into leadership development. My technological background never disappeared. Whenever HR software, automation, or digital solutions came into play, these topics almost automatically landed on my desk. Artificial intelligence was therefore a logical next step.

Since then, one central question has guided my work: How can we use AI to make leadership not only more efficient, but more effective?

Human First. AI-enabled.

When I talk about AI and leadership, one principle is at the heart of everything I do: Human first. AI-enabled.

I am not particularly convinced by either extreme in the current debate around artificial intelligence. We should neither romanticize AI nor assume that technology will replace people across the board anytime soon. What I do believe is that people who are willing and able to work competently with AI will have a significant advantage over those who choose to ignore it.

AI makes knowledge available faster. It simplifies analysis and automates operational tasks. And precisely because of this, distinctly human capabilities such as judgment, responsibility, empathy, trust, and genuine connection become even more valuable.

The more powerful our technology becomes, the more important our ability to lead as humans becomes.

This is also why leadership development needs to evolve alongside AI. The question is no longer simply which AI tools organizations should introduce. The more important question is: What capabilities will leaders need in an AI-shaped world of work?

The World Economic Forum’s Future of Jobs Report 2025 shows that leadership and social influence have seen the strongest increase in importance, rising by 22 percentage points. This is happening at exactly the moment when machines are taking over more tasks than ever before.

Bringing AI Into Leadership Development

Today, my work focuses on developing and integrating AI solutions for leadership development.

This ranges from AI Roleplays and AI Learning Coaches to learning formats that help leaders understand how to meaningfully integrate AI into their everyday leadership practice. My role combines several perspectives. I work as a consultant on strategic concepts, as a trainer facilitating learning, and hands-on with concrete AI applications.

That hands-on aspect is particularly important to me. I do not want to simply talk about AI. I want to experiment with it, develop solutions myself, and understand what works and what does not. When I speak about AI, I want to understand how it works, where its limitations are, and under which conditions it can actually create value.

This combination of technological understanding, leadership expertise, and practical implementation is at the core of my work.

AI Roleplays: A Safe Space to Practice Real Leadership Conversations

One way AI can support leadership development is through AI Roleplays.

At its core, an AI Roleplay is a digital training partner for real-life conversations.

Imagine a leader preparing for a difficult feedback conversation. In an AI Roleplay, the AI can take on the role of an employee while the leader conducts the conversation. The leader can ask questions, respond to resistance, and try different communication strategies.

The key advantage is the safe training environment. Leaders can practice situations repeatedly, test different approaches, and learn from their experience without the consequences of getting it wrong in a real conversation.

This becomes particularly effective when the scenario and language are adapted to the organization’s specific context. Participants should feel: “Yes, this is exactly how a conversation like this could happen in our company.” Afterwards, the AI can provide both qualitative and quantitative feedback, creating another opportunity for reflection and learning.

From AI Tool to Integrated Learning Solution

When we develop customized AI Roleplays with clients, we start with a structured kick-off.

Together, we define the use case, target group, organizational context, and desired learning objectives. From there, we build an initial prototype and move into testing as quickly as possible.

Through iterative feedback loops, we work with the client on the scenario, role logic, AI responses, and language. Again, authenticity is essential. The experience needs to reflect situations participants genuinely encounter in their working environment. After quality assurance, the solution can be rolled out, often in combination with live leadership training.

This is how an AI tool becomes a scalable and integrated leadership learning solution.

AI Integration Should Start With the Problem, Not the Tool

For me, integrating AI into existing leadership programs never starts with the technology itself. It starts with the problem we want to solve.

Depending on the learning need, AI Roleplays can support the transfer of learning into everyday leadership situations. AI Learning Coaches can accompany participants throughout a learning journey, while Knowledge Bots can make training knowledge accessible when people actually need it.

At the same time, leaders need to build AI literacy. In our Leading with AI formats, for example, we work with tools and frameworks such as the AI Change Cycle, AI Transformation Maps, and an AI Use Case Canvas. The goal is not for leaders to know as many AI tools as possible. It is to strengthen their ability to make decisions and take action in a working world increasingly shaped by artificial intelligence.

AI Transformation Is Also Change Management

Many organizations are still struggling to use AI productively in their everyday work. The biggest challenge is rarely technology alone. Poor data quality, unclear processes, unrealistic expectations, and a lack of acceptance can all prevent organizations from turning AI investments into real value.

AI is neither magic nor simply an IT project. It changes the way people work, the roles they take on, and how decisions are made. AI transformation is therefore also change management. People need the right capabilities, concrete experience with AI, and above all the opportunity to try it themselves.

In my experience, attitudes towards AI often begin to shift precisely when an abstract topic becomes a concrete personal experience. Reading about AI is one thing. Actually using it to solve a problem, prepare for a conversation, or improve a workflow is something entirely different.

Leadership plays a central role here. Leaders need to model how AI can be used while simultaneously ensuring that it is applied responsibly.