
Insights
Discover our science-powered frameworks, entrepreneurial methodologies and real-world cases that fuel decisive innovation.


How Schaidt Turned Insolvency Into an E-mobility Comeback
When its last audio-electronics contracts vanished, Schaidt Innovations filed for insolvency. Instead of closing the plant, we ran a fast business-model innovation sprint that created a new plan to build electric-vehicle charging stations. The strategy convinced Webasto to acquire the site and keep 170 jobs.

How a Refractory Leader Tripled its Recycling Rate
A global supplier of refractory products wanted to scale battery recycling and make circularity pay. In one year we used the Circular Economy Navigator to pick the right business model, test it with customers and build a roadmap. The work led to a joint venture that tripled the company’s recycling rate and cut waste costs.

How Roche Builds Innovation Capabilities Across its Global Workforce
Roche wanted its people to spot and shape new business opportunities. We designed a four-part learning journey that teaches business-model thinking, design and testing. The program has already trained hundreds of employees and helped internal teams push new venture ideas forward.

How a Nuclear Technology Leader Entered EV Battery Recycling
A global ag-tech company wanted to sell its high-performance seeds straight to farmers. We led a one-year BMI Launchpad project, co-developed a value-based pricing model and tested it in three countries. The pilot showed that farmers gained better yields and the company captured more value when both sides shared risk and reward.

How is AI Transforming Operations and Business Models?
Artificial Intelligence (AI) has become a game-changer across industries, transforming how businesses operate. Let's delve into the numerous ways AI is reshaping business models and operations, helping organisations stay ahead in today's fast-paced digital world.

The Characteristics of Data-driven Business Model Development and how to Succeed
The experience of recent years shows that companies often overestimate the value of their own data and their own ability to generate revenue from it. In practice, very few companies can establish a sustainable business model based on data.