Management development is taking on a whole new meaning today, especially when it includes competences in dealing with artificial intelligence. A key component of this is the targeted development of AI expertise, as implemented in KIROI Step 9. In this way, managers in various industries can be successfully supported in actively shaping digital change.
Leadership development in transition - AI expertise as the key
The demands on managers are changing rapidly because digitalisation and artificial intelligence are becoming increasingly integrated into everyday working life. Leadership development can therefore no longer be limited to traditional management methods. It is important that managers understand how AI works, how it supports decisions and what opportunities and risks are associated with it. In logistics, for example, managers use AI to plan transport routes more efficiently and conserve resources. In the financial services sector, AI helps to analyse large amounts of data in order to better assess risks and opportunities. At the same time, managers in the healthcare sector support AI-based systems to optimise treatment processes and act in a patient-centric manner.
AI expertise means not only technical knowledge, but also the ability to use this technology responsibly. Leadership development in this field provides impetus and supports individual development. Clients often report that they gain more confidence in dealing with AI through targeted support and are thus able to manage their teams better.
KIROI step 9: Measure the success of leadership development
Measuring the success of programmes is a fundamental aspect of leadership development, especially when the focus is on AI skills. Step 9 in the KIROI process supports this with practical evaluation methods. The focus here is not only on short-term results, but also on longer-term developments and changes in leadership behaviour.
An example from the energy industry shows: After the introduction of an AI-oriented development programme, feedback from team members was systematically evaluated. This showed how trust in automated systems increased and how managers integrated technological tools better. In the automotive industry, such a process led to managers being able to better base their strategy development on AI data. Similarly, managers in the IT industry report that they have improved their communication skills with technical teams thanks to the support of KIROI Step 9.
BEST PRACTICE at ABC (name changed due to NDA contract):
An energy company launched a management development programme that specifically strengthened AI skills. Through individual coaching and simulation-based exercises, managers improved their confidence in dealing with new technologies. This promoted a collaborative corporate culture and strengthened cooperation between specialist and technical departments.
Practical examples that illustrate the value of AI expertise
In the logistics industry, managers often report that they can recognise bottlenecks in the supply chain at an early stage and take countermeasures thanks to AI-supported planning tools. This allows costs to be reduced and times to be better managed. Management development accompanies this process by providing impetus for critical reflection and the use of new technologies.
In the banking sector, the benefits are that managers can use AI-based analyses to better assess complex risks and make decisions based on them. Management development supports both the transfer of technical expertise and the training of social skills, for example in communicating decisions to employees and customers.
In the healthcare sector, management development and AI expertise complement each other so that medical teams can react more quickly to changes through the targeted use of AI systems. Managers learn how the use of AI can make work processes easier without losing sight of the human factor.
Transruption coaching as a supportive companion
Many managers turn to specialised consultancies such as transruptions with questions about the integration of AI. They accompany management development projects, provide impetus and support the organisation of complex change processes. It is important that coaching not only conveys technical aspects, but also addresses the social and emotional aspects of digital transformation. In this way, managers remain capable of acting and can fulfil their role in a respectful manner towards their teams.
BEST PRACTICE at company XYZ (name changed due to NDA contract):
A medium-sized logistics company worked with transruptions coaching to improve the AI expertise of its managers. Through regular dialogue and targeted workshops, uncertainties about AI technology were reduced. The managers reported greater self-confidence and improved decision-making in day-to-day business.
My analysis
Management development focussing on AI expertise provides companies with significant support in mastering the challenges of digital transformation. It provides practical support for managers without promising simple solutions and strengthens social and methodological skills in addition to technical understanding. Economic sectors such as energy, logistics and financial services particularly benefit from this support. Managers often report that they gain more confidence in dealing with AI through continuous reflection and impulses and can therefore lead their teams better. Transruption coaching proves to be a valuable tool for providing sustainable support.
Further links from the text above:
[1] Leadership development: making the most of staff potential
[2] AI expertise - what does that actually mean?
[3] KIROI Step 9: Leadership development with AI expertise
[4] Leadership development: KIROI 9 - Competences for the digital transformation
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