All programs available in German or English.
Project Management & Work Organization
From the single project to steering above team level.
Agile Project Management
Scrum, Kanban, and the pragmatic mix in between.
If your project has uncertain requirements, shifting priorities, and an invisible workload, waterfall won't get you anywhere. I bring Scrum and Kanban into your reality so that familiar terms become effective routines.
What you'll be able to do afterwards
- Make a well-reasoned choice between traditional and agile approaches for a given initiative.
- Use Scrum roles and events in a way that actually moves work forward.
- Build a backlog that stays manageable and keep work flowing with Kanban.
Multi-Project Management with Portfolio Kanban
When too many parallel projects are grinding you down.
Individual teams can be as good as they like: when five projects run through the same bottleneck team at once, everything stalls. Portfolio Kanban makes steering above team level visible and decidable. That's where many R&D units are stuck.
What you'll be able to do afterwards
- Get an overview of how many projects run in parallel and where they block each other.
- Make bottlenecks and push effects in the system visible.
- Decide, with good reasons, what has to wait so the important work gets finished.
Project Management Systems Design
Build the project management system that fits your projects.
Traditional, agile, Kanban: the reality in R&D is hybrid. Instead of rolling out one method dogmatically, you design your own system: from the right elements, in the right combination, with clear interfaces to leadership and the organization. Available in one variant with and one variant without AI agents in the steering loops.
What you'll be able to do afterwards
- Recognize which element from traditional PM, Scrum, and Kanban solves which problem.
- Build a project management system from these building blocks that fits your project mix and your organization.
- Build AI agents (optional variant) into your steering where they actually help.
“One of the best and most engaging seminars I have attended so far. I can recommend Maik as a trainer for agile methods without reservation.”
Does one of these fit your project mix? 45-min intro call, free →
Innovation & Business Models
From problem identification to a business model that pays off.
Design Thinking
Solve the right problems before you invest effort in solutions.
Colorful sticky notes are not an innovation process. Design Thinking is a tool for problem identification, not a creativity technique. I teach it for what it is.
What you'll be able to do afterwards
- Find your users' real problem before you invest effort in solutions.
- Base decisions on observation and honest interviews.
- Build a prototype from validated ideas and hand it over to agile delivery.
Business Model Development
Derive a solid business model from technology.
Technical teams have good solutions but no language for thinking of them as a business model. Pitches stay technology-heavy, hypotheses get treated as truths. I give you the tools that turn research results into sellable offers. I deepened my grasp of the methodology behind this in the Strategyzer masterclass, directly with its originator Alex Osterwalder.
Co-trainer option: Developed together with Thomas Rauch (Leanermacher). Bookable as a tandem on request. We then train as a pair, each with his own focus.
What you'll be able to do afterwards
- Shape your technology into a business model that convinces customers and the market.
- Name the riskiest assumptions behind your idea as testable hypotheses.
- Test those hypotheses with simple market experiments before you invest big.
Agile Innovation Development with AI-Assisted Customer Discovery
Innovation from real customer interviews, analyzed with AI support.
“We need to do something with AI now” is not a use case. This training combines agile innovation methods with AI analysis of large volumes of interviews. With a real industry case in which you work your way toward the aha moment yourselves. A learning experience that sticks.
Co-trainer option: On request as a tandem with Thomas Rauch (Leanermacher), a long-time colleague from the Fraunhofer context with his own practice in innovation methodology and AI automation.
What you'll be able to do afterwards
- Turn the vague “something with AI” into a real, addressable use case.
- Analyze large volumes of customer interviews with AI support and spot the patterns in them.
- Drive innovation forward in clear, iterative learning cycles.
Have your own innovation initiative in mind? Let's talk about it for 45 minutes →
AI in Everyday Work
Understand AI systems and integrate them productively into your own work.
Understanding and Mastering AI Systems
Preparing employees for the AI Act, hands-on.
From August 2026, the AI Act applies in full. You don't need a compliance lecture — you need employees who understand AI systems, use them on their own responsibility, and recognize risks. That's what this training is for.
What you'll be able to do afterwards
- Make sense of language models, RAG systems, and agents without any magic.
- Understand AI Act obligations in the language of your work, not in legalese.
- Work with AI on your own responsibility instead of freezing up out of uncertainty.
AI Workflows for R&D Teams
Where AI agents actually help in research and engineering.
Coding agents, automated documentation, AI-assisted literature and data analysis: R&D teams today have tools that were unthinkable two years ago. I show you which of them hold up in day-to-day technical work, and build a first productive workflow with you.
What you'll be able to do afterwards
- Realistically assess AI tools in the engineering stack.
- Build an end-to-end workflow (code, documentation, or data analysis) yourself.
- Clarify responsibility, review, and quality in AI-assisted work.
Not sure where AI brings real benefit for you? 45-min intro call, free →
Strategy & Leadership
Orientation for leadership teams that want to connect direction and execution.
Business Strategy for the AI Shift
Strategy plus a crash course on what AI can really do in 2026.
Strategy work without an up-to-date understanding of AI misses the problem. This format combines your strategy clarification with a realistic update on what language models, agents, and embedding systems can and cannot do today. For leadership teams that don't want to navigate by buzzwords.
What you'll be able to do afterwards
- Sort your strategy options for the next 18–24 months.
- Distinguish the real capabilities of current AI systems from hype.
- Define an approach for execution that doesn't end in PowerPoint.
R&D Strategy with LEGO® Serious Play®
Think strategy with your hands, together as a team.
Strategy workshops often fail because the experienced heads talk in parallel instead of thinking together. LEGO® Serious Play® forces everyone into a shared modeling language in which no one can hide behind stock phrases. Very well suited for R&D strategy, role clarification, and future visions.
What you'll have afterwards
- Strategic models that everyone in the room understands and stands behind together.
- Conflicts and assumptions that would otherwise stay implicit, visible on the table.
- Clear commitments instead of fake consensus.
Nothing quite fits?
Most engagements are blends or tailored formats. Every engagement starts with a 45-minute intro call and a written concept outline. Only then do we decide on the format together.