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

27 May 2025

Leadership development: KIROI step 9 for AI competence

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(1577)

Leadership development is a key building block for sustainable corporate success. KIROI step 9 in particular plays an important role in equipping managers with specific skills in the field of artificial intelligence (AI). In today's dynamic working world, it is crucial that managers not only impart traditional leadership skills, but are also able to actively support and implement technological changes.

AI expertise as the key to management development

AI technologies are increasingly permeating business processes and fundamentally changing management tasks. Managers therefore need in-depth knowledge of AI applications and their impact on work processes. KIROI Step 9 focuses precisely on this ability: managers are supported in recognising AI potential, using it strategically and managing teams accordingly.

An example from the financial sector shows how CRM systems with AI-supported customer analysis optimise portfolio management. Managers learn how to integrate the relevant tools competently and support employees in their use. In production, the focus is often on the use of predictive maintenance to minimise downtimes. Here, management development requires the expansion of technical understanding and change management. In retail, managers benefit from AI-supported data analyses when developing personalised marketing strategies.

Practical implementation as part of management development

The path to AI expertise ideally involves a combination of different methods in order to make learning sustainable. KIROI Step 9 includes both formal training and practical learning phases.

For example, companies support managers with targeted coaching in order to reflect on individual challenges in AI implementations and develop solutions. At the same time, workshops and interactive training sessions offer specific tools and methods for managing AI projects. Learning on the job remains indispensable by actively involving managers in the implementation of AI applications in day-to-day operations.

A manufacturing company designed a multi-stage development programme for its division managers that combined digital learning modules with face-to-face workshops and peer coaching. This increased acceptance of AI technologies and successfully supported implementation within the team.

BEST PRACTICE at a customer (name withheld due to NDA agreement): As part of a KIROI-based programme, managers from the healthcare sector received individual coaching and specific tools for the use of AI in patient data analysis in the form of topic-related workshops. Participants reported that this empowered them to communicate data-based decisions more transparently and promote innovation processes.

Integration of KIROI Step 9 into existing management programmes

To ensure that leadership development remains effective overall, AI skills development should be seamlessly integrated into existing programmes. This avoids isolated islands of learning and ensures sustainable anchoring in everyday life.

For example, on-the-job methods such as job rotation can be used to familiarise managers with different AI-related fields of work. Mentoring programmes, in which experienced managers and AI experts work together, also support learning in practice. Digital learning platforms also offer flexible opportunities to work on AI-specific content in a needs-based and self-determined manner.

In the automotive industry, managers benefit from the integration of traditional employee management training with in-depth units on AI-supported process optimisation in production. In the service sector, network meetings support the exchange of experience on the challenges of digitalisation in customer service.

Tips for successfully applying the KIROI step 9

- Rely on individual development plans that include AI competences as an essential component.

- Combine traditional methods such as coaching or mentoring with innovative formats such as digital learning modules and peer learning.

- Involve managers in real AI projects at an early stage to ensure that learning is directly related to everyday working life.

- Create spaces for reflection for critical discussions about the opportunities and risks of AI in order to promote acceptance.

- Rely on continuous monitoring and evaluation in order to make development progress measurable and make adjustments as required.

My analysis

Leadership development takes on a new dimension with KIROI Step 9. The targeted teaching of AI skills supports managers in proactively shaping technological change and successfully leading their teams. Practical and diverse learning formats are crucial for learning success. The better companies integrate AI topics into their management development, the more they benefit from sustainable innovation and future-orientated management.

Further links from the text above:

How can leadership development succeed? - Methods, concepts and examples
Leadership development: Comprehensive guide with methods
Measures and concepts for management development
Leadership development: The guide for HR
Methods & practical tips for leadership development

For more information and if you have any questions, please contact Contact us or read more blog posts on the topic Artificial intelligence here.

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