AI-Exploration lab
Developing AI strategically and practically
Artificial intelligence (AI) is not a finished product that can simply be implemented. Rather, it is a tool for redesigning processes and ways of working. But where should you start? Which use cases make sense? And how can AI be integrated strategically and operationally?
The compact format
- Combination of strategic and operational development
- Cross-departmental collaboration and knowledge transfer
- Time required for management or administration: 3 to 5 hours
- Can be implemented with teams of 3 or more people
- Possibility to meet online or live
Compact. Concrete. Usable.
The KI-Exploration Lab offers the ideal setting to experience AI in practice, to locate it strategically and to identify concrete use cases.
Aims of the workshop format
- Connect AI with your corporate strategy
- Determine your own level of maturity for a well-informed AI decision
- Identify relevant processes and use cases
- Gain practical experience
- Develop a concrete development plan
- Connect strategy, practice and reflection
Companies receive a clear orientation and develop a roadmap for further implementation.
Workshop format on three levels for sustainable results
Strategy
Workshop with management to strategically integrate AI into the organisation
Exploration
Identifying relevant AI applications and processes with operational teams
Try & Reflect
Hands-on LAB: Practical AI experience & derivation for the organisation
Why the AI Exploration Lab?
It combines the strategic level with practical experience and makes your own AI maturity level visible. It also brings relevant use cases from the company into the process. Combine learning, trial and error, and reflection to create a solid foundation for further implementation!
Structure and organisation (2- or 3-day lab)
3–4 hours at a strategic and operational level
- Strategic positioning: Where does the company stand?
- Where can AI be meaningfully implemented?
- Clarifying the tasks: Which processes and use cases are relevant?
- Aligning approaches: Defining expectations, opportunities and challenges
8–12 hours at the operational level
- Development of first MVPs: identification and initial implementation of specific AI use cases
- Practical input: prompt engineering, AI assistants, best practices
- Hands-on experiments: try out AI applications directly and visualise results
3–4 hours at the strategic and operational level
- Results presentation: What worked? What insights have been gained?
- Strategic reflection: Evaluation of experiences by management and operational teams
- Goal definition & roadmap: Development of a concrete plan for further AI exploration
Why implement the AI Exploration Lab Marktkraft?
Georg Braun has over 25 years of experience and has moderated more than 1,000 corporate and strategy processes. As the founder of Marktkraft, he combines in-depth knowledge of organisational development, innovation processes and change management with a clear view of practical implementation.
The introduction of AI is not a purely technical project – it requires a targeted moderation between strategic alignment, operational implementation and organisational change. This is precisely where Marktkraft comes in: through precise process design, structured dialogue management and practice-oriented experiments, companies are not only enabled to understand AI, but also to develop it meaningfully in their own context.
In this format, Marktkraft creates a learning and development space in which strategy, technology and practical experience are intelligently linked. The combination of proven moderation methods, agile innovation approaches and direct hands-on experience with AI ensures that after the lab, companies have clear insights, implementable use cases and a well-founded roadmap for the future in their hands.
With this expertise, Marktkraft ensures that the AI Exploration Lab is not only inspiring but also sustainably effective.