AI and Innovation · Masterclasses · Keynotes · Advisory
From AI pilots
to processes that pay off.
Most companies use generative AI somewhere. Few see it in their results. Michael Lewrick helps leadership teams, innovators and managers redesign work around what AI agents can do end to end, with masterclasses, keynotes and in-house programmes in English and German.
Generative AI and agentic AI: the difference
Two terms that are often confused. The difference decides whether AI speeds up single tasks or runs whole processes.
Generative AI since 2023
You ask, it answers. One prompt, one output: text, image or code. A person checks the result and takes the next step.
Value: faster single tasks.
Agentic AI since 2025
- Goal
- Plan
- Act
- Check
- Deliver
It receives a goal, not a prompt. It plans steps, uses tools such as CRM, shop, payment or email, and checks its own results. It works for minutes to hours, alone or in a team of agents.
Value: whole processes run end to end.
Rule of thumb: if a person still has to copy the result into another system, it is not agentic yet.
The GenAI paradox
Generative AI is everywhere, yet rarely shows up in the results. The difference lies in the approach, not in the technology.
Four rules to get from pilots to profit
Formats for every level of the organisation
Every programme is tailored to your industry, your use cases and your level of maturity.
All-hands meetings, leadership summits, sales kick-offs, client conferences. What is happening now, practical examples from your industry and what to do next.
For executive boards and leadership teams: strategic alignment, AI-driven threats and opportunities, governance and risk, where to place bets and how to measure them.
For managers who execute the strategy: AI fundamentals, use-case workshops in their own department, AI-ready culture, managing AI projects and leading the human side of change.
Hands-on formats with the canvases from the book, from the first AI micro-tool to a roadmap for your organisation.
Shared AI literacy: what AI is, how to prompt well, where it helps in daily work and which rules apply to data, security and ethics.
Inside a two-day AI and Innovation Masterclass
A typical agenda, as run with participants from banking, life sciences, manufacturing and retail.
Inspiration, prototyping and practice
- Keynote on generative and agentic AI, with practices from Europe, the US and Asia
- Hands-on: where AI logic makes sense and how agent workflows behave
- AI within stage-gate processes and design thinking
- The AI Ideation Accelerator: from a persona to an AI micro-tool in under 40 minutes
Deep dive and roadmap
- Find concrete use cases and rate them by business value, data and feasibility
- From strategy to implementation: prioritise quick wins and draw the path to scale
- Trusted AI in practice: the EU AI Act and the conditions for a pilot
- Your own AI roadmap and next steps
The AI Ideation Accelerator
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The AI and Innovation toolkit
Participants work with 19 canvases and checklists from the book AI and Innovation. A selection:
Advisory for regulated industries
The Autonomous Enterprise
AI investment is stalling on data that nobody can certify. For life sciences, MedTech, financial services and industry in the DACH region including Liechtenstein, Lewrick & Company builds the foundations that let automation scale safely.
Regulatory context includes the Swiss revFADP, EU GDPR, the EU AI Act, the EU Data Act, GxP and FINMA requirements. Verified with your Legal and Compliance; not legal advice.
Selected in-house programmes
Masterclasses and capability programmes for leadership and innovation teams in life sciences, banking and other industries. In one AI and Innovation Masterclass, 200 participants developed more than 100 AI use cases in an AI ideation sprint.
The book
AI and Innovation
How to Transform Your Business and Outpace the Competition with Generative AI
A practical guide for business leaders: where to play and how to win with AI, the AI Strategy Canvas and AI Opportunity Map, design thinking for AI, the AI value chain, and what comes next for AI and innovation.
AI and Innovation is available in English, Spanish, Japanese, Chinese, Vietnamese and other languages. Ask at your local bookshop.
International
AI and Innovation around the world
JapanAI and Innovation in Japan with NTT DATA
The Japanese edition of AI and Innovation was translated by NTT DATA. NTT DATA uses the book’s frameworks to educate its clients, among them some of the most innovative companies in Japan, as well as leaders and decision-makers on AI, agentic AI and transformation.
TaiwanHuman-centred AI in Taiwan
The Chinese edition, AI創新世代, is published by the China Productivity Center in Taiwan. Taiwanese technology and industry leaders use the book to take a human-centred approach to AI and to build ecosystems that take full advantage of agentic AI.
VietnamEfficiency and AI-driven innovation in Vietnam
The Vietnamese edition, AI Tạo Sinh, is published by 1980 Books and Nhà xuất bản Công Thương. It is applied by industry and leading banks to gain efficiency and to enable AI-driven innovation.
SpainNew business models in Spain
The Spanish edition, Inteligencia artificial e innovación, is published by Deusto. It inspires start-ups and traditional industries alike to leap into new business models and innovation.
Questions and answers
What is agentic AI?
Agentic AI describes AI systems that receive a goal instead of a single prompt. They plan the steps, use tools such as CRM, payment or email, check their own results and deliver a finished piece of work. Generative AI answers a question; agentic AI completes a task.
What is the difference between generative AI and agentic AI?
Generative AI produces one output per prompt, and a person takes the next step. Agentic AI works through several steps on its own, often for minutes or hours. A simple test: if a person still has to copy the result into another system, the process is not agentic yet.
Why do so many AI pilots fail to deliver results?
Because they stay horizontal and are measured by usage. About 78 percent of companies use generative AI, but about 80 percent see no significant impact on earnings (McKinsey, 2025). Results come from redesigning core processes and measuring cost and revenue.
What happens in an AI and Innovation Masterclass?
Participants learn the current state of generative and agentic AI, build a first AI micro-tool in under 40 minutes, find and rate use cases with canvases from the book, and leave with a roadmap. Formats range from 1.5 hours to two days.
Can the masterclass be run in-house?
Yes. Most programmes are in-house and tailored to the industry, the use cases and the maturity of the organisation, for example for leadership teams in banking or life sciences.
In which languages?
In English or German.
Who is Michael Lewrick?
Dr. Michael Lewrick is the co-author of AI and Innovation (Wiley, 2024) and lead author of the Wiley design thinking series. He founded Lewrick & Company in Vaduz, Liechtenstein, and advises boards and leadership teams on AI, innovation and business ecosystems.
Get in touch
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