AI-First Business Model Reinvention Accelerator
- A four-day AI-first business model reinvention catalyst workshop
- For business leaders, product teams, and business key players ready to accelerate business model transformation with GenAI
Traditional business model redesign requires long workshops and extensive manual preparation. With GenAI, we cut time investment from 8 to 6 hours per day while multiplying the number of options explored. The AI-First Business Model Reinvention Catalyst 2 transforms our proven 4-day redesign format into a faster, smarter journey – powered by AI-supported analysis, ideation, and validation.
AI-First Business Model Reinvention Accelerator
- A four-day AI-first business model reinvention catalyst workshop
- For business leaders, product teams, and business key players ready to accelerate business model transformation with GenAI
Traditional business model redesign requires long workshops and extensive manual preparation. With GenAI, we cut time investment from 8 to 6 hours per day while multiplying the number of options explored. The AI-First Business Model Reinvention Catalyst 2 transforms our proven 4-day redesign format into a faster, smarter journey – powered by AI-supported analysis, ideation, and validation.
Workshop Flow
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- Kick-off & shared objectives
- Introduction to Business Model Design methodology
- AI support: automated mapping of As-Is models using company data and external signals
- Group work: capture and refine current business model structure
- Reflection & Q&A
- Applying the 7 Questions of Business Model Quality
- SWOT-based evaluation of the current business model
- AI-driven pattern recognition: identifying hidden weaknesses and opportunities
- Group presentations & cross-learning
- Review & outlook
- Immersion into trends, technologies, and customer insights
- AI-powered ideation: rapid generation of alternative business model prototypes
- Group work: developing and pitching future scenarios
- Prioritization of promising models using AI-based scoring & clustering
- Wrap-up & preparation for testing
- Reflection on ideation outcomes
- Hypothesis building across desirability, feasibility, viability, adaptability
- AI-augmented test design: suggesting experiments and simulating outcomes
- Hands-on work: creating test cards, running sample validations
- Next steps: roadmap for scaling experiments into organizational practice
Outcomes_
Time efficiency – Save 25% time per day with AI-enabled acceleration
Strategic clarity – Clear view of where AI adds most business model leverage
Risk reduction – Validate bold moves faster with AI-supported hypothesis testing
Actionability – Leave with a tested, AI-enhanced roadmap
AI co-creation – Collaborate with GenAI to design and refine business models
Skill development – Build capabilities in guiding and orchestrating AI workflows
Faster experimentation – Explore, evaluate, and validate 5–10x more options in less time
Cross-functional contribution – Leverage business domain expertise in AI-driven reinvention
Ownership & autonomy – Drive AI-first initiatives independently within teams and business units
Role evolution – Redefine how product, innovation, and business functions create value together