Have you ever wondered why some companies are off to a flying start with intelligent technologies, while others, despite enormous investments, are stagnating? The answer rarely lies in the technology itself, but rather in the quality of the leadership that accompanies and shapes this transformation. In this way, you develop genuine AI leadership competencies in the company – this approach currently engages executives, business leaders, and department heads alike. Because without a solid strategic orientation and without leadership figures who possess both technical understanding and human sensitivity, even the most promising initiatives remain far behind their potential.
The new reality of strategic management
The business world is currently changing at a speed that even experienced executives are facing completely new challenges. Intelligent systems are now permeating almost every aspect of a company, from product development to marketing to personnel planning and strategic controlling. This development requires a fundamentally new understanding of leadership responsibility and decision-making in complex organizations. Leaders must now understand how algorithmic decision support works and where its limits lie. They must lead teams that increasingly work with automated processes. At the same time, they bear responsibility for ethical issues that come with the use of such technologies.
A medium-sized machine manufacturer from southern Germany, for example, implemented a system for predictive maintenance of its production facilities. The technical integration went smoothly, but the acceptance among the shift supervisors was initially low. Only when the plant management began actively communicating with the teams and incorporating their expertise into the optimization of the algorithms did the system reach its full potential. A logistics company from the Rhine-Main area experienced a similar situation when introducing automated route planning. The dispatchers initially felt replaced rather than supported by the system. The solution consisted in positioning the employees as experts for special cases and complex customer requests, while the system took over the standard tasks. A third example comes from the insurance industry, where a company deployed chatbots for initial consultations, but found that without appropriate training, the handover to human advisors regularly failed.
Why technical knowledge alone is not enough to build AI leadership skills
Many companies make the mistake of automatically assigning their most technically skilled employees with leadership responsibility for transformation projects without sufficiently considering their interpersonal skills and strategic thinking abilities. Time and again, it is shown that successful projects are led by people who possess a basic understanding of technology, but above all have outstanding communication skills, empathy, and the ability to mediate between different stakeholders. This combination of hard and soft skills makes the crucial difference between projects that merely function technically and those that actually create sustainable business value.
One pharmaceutical company from Hesse experienced this insight in a striking way. The IT manager, a brilliant technologist, initially encountered difficulties implementing a system for analyzing clinical trial data because he did not take the concerns of medical professionals seriously. Only after a project manager with a medical background and a keen understanding of both worlds had taken over, did the successful implementation take place. A commercial company experienced similar challenges when implementing personalized customer recommendations. The marketing department rejected the system because the technical explanations remained incomprehensible. An energy provider reports on similar challenges in implementing intelligent grid control, where only an intensive communication campaign increased acceptance among grid engineers.
Best practice with a AIROI customer An internationally operating industrial company faced the challenge of modernizing its entire quality assurance through intelligent image recognition systems, while simultaneously onboarding more than two hundred employees in various production sites. The management decided not to simply engage external consultants with the technical implementation, but to first invest in the development of internal leadership competencies. Within the framework of a structured follow-up program, production managers and team leaders were trained over several months in both technical fundamentals and change management methods. During this process, the executives learned how to recognize and constructively address the fears and reservations of their teams. They developed together communication strategies that made the benefits of the new systems tangible, without ignoring the legitimate concerns of the workforce. The transruptions coaching accompanied both the strategic direction and the operational implementation in the individual plants. The result was a reduction in errors of more than forty percent within the first year, while at the same time employee satisfaction increased and the turnover in the affected departments was significantly lower than originally feared.
Practical ways to develop real AI leadership competencies in the company
Building genuine leadership skills in the field of intelligent technologies requires a systematic approach that connects different learning levels and includes both formal training and practical experiences. It is not about training executives to become programmers or data scientists; rather, it is about providing them with the conceptual understanding they need to make strategic decisions based on sound evidence. At the same time, they must learn to ask the right questions, assess the quality of results, and recognize and evaluate ethical implications.
A financial services provider from Frankfurt developed an internal program that allows executives to intern in various departments and experience the practical application of intelligent systems first-hand. The participants spent several days in teams that were already successfully working with automated processes. They conducted structured conversations with employees at all levels of the hierarchy and documented their findings in learning notebooks. One telecommunications company took a different approach and established so-called innovation labs where executives could work together with technical experts on concrete issues. An automotive supplier organized regular workshops in which external speakers presented current developments and discussed them critically, with the focus always on their strategic relevance for the company’s own business model.
The role of mentoring and collegial advice
Formal continuing education programs form an important foundation, but real competence development often occurs through informal exchanges with experienced colleagues and through the reflection of one’s own experiences in structured formats such as mentoring relationships or collegial advisory groups. These formats provide the protected space executives need to openly discuss uncertainties, mistakes, and learning experiences without having to worry about their professional reputation. Especially in the context of technological transformation, where many executives suddenly face topics in which they are not recognized experts, this protected space is invaluable for authentic personal development.
A healthcare company established a cross-mentoring program that brought together leaders from different business areas. A clinical director who was just introducing a system for supporting diagnosis exchanged regular conversations with a colleague from the administration who had already accumulated experience with automated document processing. A construction company established monthly reflection rounds in which project managers discussed their experiences with intelligent planning tools and learned from each other. A media company created an internal podcast in which executives reported on their experiences, contributing knowledge and ideas to the entire organization.
Create cultural prerequisites for successful transformation
Even the most competent leaders can only act successfully if the organizational culture supports and encourages experimentation, learning from mistakes, and open exchange. Many companies underestimate the cultural prerequisites for successful technology transformation and focus excessively on technical aspects and formal training measures. Numerous studies and practical experiences show that cultural factors such as psychological safety, a constructive culture of error, and a willingness to continuously learn are at least as crucial for success as the quality of the technology itself.
A chemical company from North Rhine-Westphalia introduced regular Failure Fridays, where teams openly reported on failed experiments and the lessons learned from them. This practice quickly spread and changed the entire corporate culture. A retail conglomerate established the principle that every technology project also included an explicit learning budget that could be used for experiments and pilot projects without immediate pressure to succeed. A software company set up an anonymous channel through which employees could raise concerns and critical questions about ongoing projects without fearing negative consequences, and the senior management committed to seriously reviewing and responding transparently to each submission.
Best practice with a AIROI customer A family-run food industry company with more than a thousand employees faced the challenge of introducing intelligent systems for process optimization without damaging the company culture, which is strongly rooted in craftsmanship and experience. The management recognized early on that the success of the transformation would depend significantly on how the management team in production supported and communicated these changes. The company chose a participatory approach, in which experienced professionals were actively involved in developing and calibrating the new systems. The transruptive coaching supported in particular the middle management level, which had to reconcile between the strategic directives of the management and the practical concerns of the workforce. The leaders learned to view resistance not as a disruption but as valuable information about improvement potential and legitimate concerns that needed to be addressed. They developed individual communication strategies for different groups of employees and organized regular feedback rounds whose results actually contributed to the further development. The success of this approach was not only reflected in improved process results, but also in a significantly higher identification of the workforce with the changes and a noticeably increased willingness to innovate throughout the entire organization.
Establish sustainable structures for continuous learning
Developing leadership skills in the field of intelligent technologies is not a one-time project; it is a continuous process that must be embedded into the organization’s regular structures and processes to be effective in the long term. Therefore, companies that are sustainably successful establish learning structures that go beyond individual training measures and enable and promote a lasting engagement with new developments. Formal elements such as regular training budgets and structured development paths, as well as informal elements such as networks, exchange formats, and learning communities play an important role in this process.
A technology company from Munich established the principle that each leader was allowed and should use at least ten percent of their working time for structured learning and reflection. A consulting firm established internal expert groups that continuously built knowledge on various technology-related topics and regularly contributed this knowledge to the overall organization. A manufacturing company from Saxony developed an internal certification program that enabled executives to systematically expand and demonstrate their competencies, with the requirements regularly adapted to current developments.
AI leadership competence as a strategic competitive advantage
Companies that succeed in systematically building genuine leadership competencies in the field of intelligent technologies gain long-term competitive advantages that go far beyond the immediate efficiency gains of individual technology projects. They become attractive employers for talented professionals who want to work in a learning-promoting environment and continuously develop their skills. They react faster and more flexibly to technological changes because their management teams are able to align new developments and recognize strategic implications. And they create a culture of innovation and continuous learning that positively impacts all business areas.
My AIROI Analysis
The systematic development of leadership competencies in the field of intelligent technologies represents one of the central strategic tasks for companies of all industries and sizes. My experience from numerous mentoring projects shows that success is significantly dependent on the willingness of the company leadership to invest in people as well as in technology. Clients often report initial resistance and uncertainties, which however dissolve as soon as executives develop the necessary competencies and the confidence to actively shape transformation processes.
The AIROI-methodology offers a structured framework that integrates technical, organizational, and human aspects, enabling holistic support. I find it particularly important to recognize that competence development takes time and cannot be replaced by short-term training measures. Companies that are willing to embark on this longer-term journey are rewarded with more sustainable results and greater acceptance throughout the organization. The challenge lies in finding the balance between necessary speed and appropriate diligence. Transruptional coaching can provide valuable insights and support leaders in their personal development. The coming years will reveal which companies succeed in empowering their leaders and thereby making them true creators of technological transformation.
Further links from the text above:
[1] McKinsey – The State of AI
[2] Harvard Business Review – Artificial Intelligence
[3] Gartner – Artificial Intelligence Insights
[4] Bitkom – Artificial Intelligence
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