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AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

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16 February 2025

KIROI Step 9: Leadership development with AI expertise

Artificial intelligence Digital Leadership Digital transformation HR work and Teams 4.0 AI Glossary

Leadership development is becoming increasingly important in modern companies, especially when it comes to strengthening managers with skills in the field of artificial intelligence (AI). KIROI Step 9 combines traditional leadership skills with digital expertise and helps managers to be fit for the future. In this context, leadership development does not just mean further training, but intensive support that utilises innovative methods and develops individual potential.

Leadership development in transition - AI as a key competence

Companies that want to respond to new technological challenges are increasingly integrating AI expertise into their management development programmes. The combination of traditional HR development and digital learning formats promotes an understanding of data-driven decisions. For example, managers in the automotive industry are learning to optimise the analysis of production processes with AI-supported tools, while algorithms for customer segmentation are being developed and applied in the retail sector. AI applications also support risk analyses and compliance tasks in the financial sector.

The integration of AI skills into management development not only imparts technical knowledge, but also strengthens strategic thinking in complex situations. This prepares managers for their role as bridge builders between man and machine, which has a positive impact on the entire corporate culture.

Methods and approaches for leadership development with AI competence

Leadership development includes a variety of learning formats that systematically build and consolidate competences. In addition to traditional seminars and coaching sessions, digital learning platforms with AI-based adaptation mechanisms offer customised development paths. Here are three examples from different industries:

1. managers in mechanical engineering use digital workshops in which AI applications for predictive maintenance management are interactively simulated. Through case studies, they learn how to minimise downtime and increase productivity with AI.

2. managers in the healthcare sector practise using AI-supported diagnostic systems and reflect on ethical issues in order to promote acceptance among employees.

3. the IT industry supports managers through agile methodology training that deepens the use of AI tools in software development and project management.

Mentoring is a tried-and-tested method of leadership development. Here, experienced managers pass on their AI experience and support younger colleagues in its application. In addition, coaching supports reflection on specific situations in dealing with digital tools. This results in practical and sustainable empowerment.

Practical examples of successful support

BEST PRACTICE with one customer (name hidden due to NDA contract) Management development was combined here as part of a programme that focused on personalised AI training, coaching units and networking events. Participants reported increased confidence in data-based decisions and improved team communication through the targeted use of digital tools.

BEST PRACTICE with one customer (name hidden due to NDA contract) At a medium-sized technology company, management development supported the integration of machine learning solutions into everyday working life. Practice-orientated workshops and mentoring strengthened innovation skills and enabled managers to redesign processes efficiently.

BEST PRACTICE with one customer (name hidden due to NDA contract) In the financial services sector, a special management development programme focusing on AI expertise enabled the successful transformation of risk management processes. Barriers were broken down and a willingness to change encouraged through continuous reflection and dialogue at management level.

Fields of action and tips for successful leadership development

Effective leadership development should be tailored to individual needs and combine different learning methods. Here are some valuable tips that are frequently reported from practice:

Use on-the-job learning to establish AI skills directly in your day-to-day work. This allows you to successfully combine theory and practice.
Support managers with regular coaching to reflect on challenges in the use of AI and develop options for action.
Rely on mentoring programmes in which experienced managers pass on their knowledge in a targeted manner. This strengthens the professional exchange and contributes to networking.
Promote the use of digital learning platforms that enable individual learning paths through adaptive algorithms and continuously motivate managers.
Ensure a culture that encourages experimentation and a positive error culture in order to increase the team's innovative strength.

Transformation coaching plays a central role here. This specialised support assists managers with complex change projects and the transformation of corporate culture with the inclusion of AI expertise.

My analysis

Combining traditional management development with AI-specific content is a promising response to the requirements of digital transformation. Managers need a wide range of skills that encompass both technical understanding and social skills. KIROI Step 9 shows how targeted support and combined learning can create innovative leaders who can lead their organisations safely into the future.

The focus is on individual support within practical learning formats, supplemented by mentoring and coaching. Companies that implement these approaches benefit from motivated managers who recognise AI as an opportunity and use it successfully in their day-to-day management work.

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KIROI Step 9: Leadership development with AI expertise

written by:

Sanjay Sauldie

Sanjay Sauldie is a digital strategist, speaker and developer of the transruption toolkit, which companies can use to make their digital transformation measurable, human and sustainable. With kiROI - the AI-based approach to value creation in the digital age - he helps self-employed people and companies to integrate artificial intelligence into their processes in a practical way. With his outstanding marketing strategy iROI, he has already led countless companies to greater visibility and thus more profits. He combines digital innovation with disruptive thinking models for a sustainable business strategy. He studied mathematics and computer science at the University of Cologne, completed a Master of Science in Digital Disruption at the University of Salford (UK) and a Design Thinking programme at MIT/EMERITUS Singapore. As a multiple award-winning expert - including the Golden Web Award and the Innovation Award of the Initiative Mittelstand - he advises SMEs and corporations. His motto: "Digitalisation is not an end in itself - it must serve people."

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