The idea arose from my many years of experience with digital transformation training. In recent years, my focus has been on demonstrating and bringing to life the rapid changes in business models and entrepreneurial behaviour brought about by digital technologies. In doing so, I realised that we often only rely on our own intelligence in our exercises.

With the advent of advanced AI tools, we now have a constant sparring partner at our side, so to speak. It patiently listens to us, stimulates new thought processes and helps us to sort and reflect on our ideas. In addition, these tools enable creative processes such as the creation of new designs or the development of code through to functional applications. This significantly shortens the path from idea to product. I wanted to pick up on this development in a new seminar concept and bring it to life.

Let me put it this way: It is not AI that will take over your job, but someone who can deal effectively with AI. The seminar is aimed at anyone who processes a lot of knowledge and creates new things in their day-to-day work – in other words, people who frequently have to manage, recombine information and solve complex problems.

Interestingly, I haven’t had a single participant who said after the training that it wasn’t relevant to them. This emphasises the broad applicability and importance of the topic in today’s working world.

The training can be divided into four main areas:

• Overview of current trends and technologies: We look at what developments are out there and how to stay on top of them.
• Continuously analysing and questioning business models: Here we use modern management methods to review and adapt existing models.
• Psychological and human aspects of change projects: We investigate how to understand and make sense of the dynamics in change processes.
• Prioritisation and agile project management: The final part deals with the effective prioritisation of project goals and the application of agile methods and iterative thinking.

All of these areas will be simulated and practised in small groups, using AI models as support throughout.

Our approach is very practice-orientated. Each thematic section is followed by a practical exercise, followed by a reflection phase. Here we discuss how what has been learnt can be transferred to real project situations.

A core aspect of our training is the continuous simulation. This creates a much greater practical relevance than is known from traditional seminars or workshops on digitalisation. Participants experience directly how theoretical concepts can be applied in concrete scenarios and the challenges that can arise.

In fact, I am regularly inspired by a new tool – about every fortnight. The rapid development in the field of Large Language Models (LLMs) is constantly opening up new possibilities. Personally, I use ChatGPT and Claude on a daily basis. I am always impressed by the quality of the results, the time saved and the improvement of my work with these tools.

Recently, I was also very positively surprised by the AI function in Miro. In the seminar, we will get to know a variety of other specialised tools and I am already looking forward to seeing the enthusiastic reactions of the participants.

My greatest motivation is the participants’ reactions. It is fascinating to see how initial scepticism turns into enthusiasm. The incredulous shaking of heads and the gleam in their eyes when the participants realise the possibilities.

I also find the enthusiasm with which the participants return to their companies after the seminar particularly motivating. They are highly motivated to actively tackle the digitalisation of their processes and the transformation of their organisation. Seeing this lasting effect motivates me time and time again.

Interestingly, a realisation emerged in my last training course that is not explicitly stated in the ‘seminar description’. The participants realised that despite the constant flood of new tools and technologies – which can certainly lead to a feeling of being overwhelmed – the basic management and change methods remain constant.

They learn to apply these familiar methods in a new context, be it in the area of design thinking or classic change management. At the same time, they realise that the focus is more than ever on people. Social dynamics, self-reflection, self-care and continuous learning as part of agility are becoming increasingly important.

Specifically, participants develop skills in using AI tools, learn about modern management methods and improve their expertise in change management and agile working methods.

A key challenge is that many companies and managers underestimate the transformative power of these tools for everyday working life. In my personal environment, I see how indispensable these technologies have become for many.

At the same time, many companies lack a clear strategy for dealing with AI and empowering their employees. Another challenge lies in learning how to use these tools. It takes perseverance, constant trial and error and learning the ‘prompt language’ to realise the full potential.

In our seminar, we address these challenges directly. We demonstrate the practical application possibilities, discuss strategic approaches and give participants the opportunity to gain hands-on experience with various tools. In this way, we prepare them to act as multipliers in their companies and actively shape change.