Dorothée Töreki
Generative AI has moved faster than most operating models can absorb. Boards approve pilots, then stall on how to make the technology work inside real processes, real teams and real customer experiences. The gap between technology curiosity and operating capability is where transformation programmes lose momentum.
Dorothée Töreki is a digital transformation specialist and former IBM and Boysen Group operator who helps organisations turn generative AI from a topic into an operating capability.
Full Profile
Why organisations work with Dorothée Töreki
- She has run digital transformation from the inside. Eleven years at IBM Germany and a Director of Digitalisation role at the Boysen Group give her a working understanding of how AI and digital tools actually land in industrial and corporate environments.
- She teaches the same material she presents on stage. Her part-time lectureship at Duale Hochschule Heidenheim covers blockchain and generative AI, which keeps the content close to the underlying mechanics rather than the marketing layer.
- She is one of the few German-language voices who can move an audience from technology scepticism to active engagement, in both English and German, without simplifying the substance.
- Her work spans the connected stack: generative AI, blockchain, Web 3.0, the Internet of Things and human-machine collaboration. That breadth lets her show executives where today’s pilots are pointing.
Biography highlights
- Eleven years at IBM Germany in roles spanning Digital Advisor, Competitive Leader and Digital Workplace Consultant.
- Former Director of Digitalisation at the Boysen Group, leading cultural transformation.
- Founder of Denkräume im Digitalen, established 2019.
- Part-time lecturer in blockchain and generative AI at Duale Hochschule Heidenheim.
- LinkedIn Top Voice DACH 2018 and Best of IBM 2016.
- Co-author for Springer Gabler on generative AI and digitalisation themes.
Biography
Most German industrial firms can describe what generative AI is. Far fewer can describe what it changes inside their operating model. That gap, between technical literacy and operating capability, is the territory Dorothée Töreki has worked in for two decades.
Her route into the subject is unusual. She trained as a civil engineer and worked on infrastructure projects including the ICE rail link between Frankfurt and Cologne, before moving into information technology. Eleven years at IBM Germany followed, in roles that ran from digital workplace consulting to competitive analysis on cloud and AI. As Director of Digitalisation at the Boysen Group, she carried that perspective into an industrial automotive supplier, designing the cultural side of digital change.
In 2019 she founded Denkräume im Digitalen to focus on executive education and keynotes. The body of work spans generative AI, blockchain, Web 3.0 and human-machine collaboration. She teaches the same material at Duale Hochschule Heidenheim, which gives the content a level of technical detail most keynote speakers cannot match. Springer Gabler publishes her as a contributing author on generative AI and digital business.
She is recognised as a LinkedIn Top Voice DACH and was named Best of IBM in 2016. Her delivery, in German or English, is built on turning abstract technology into specific operational consequence: what changes for marketing, for service operations, for the workplace, for the way decisions get made.
Key speaking topics
- Generative AI in business
- Digital transformation in industrial organisations
- Blockchain and Web 3.0
- Human-machine collaboration
- Future of work and digital workplace
- Internet of Things and Economy of Things
- Cultural change in technology adoption
Ideal for
- CIOs, CDOs and heads of digital transformation in industrial and B2B firms.
- Executive committees and boards setting AI strategy.
- Marketing, sales and customer experience leadership teams.
- German-speaking corporate audiences seeking technical depth without losing accessibility.
Audience outcomes
- A working picture of where generative AI changes specific business functions, not a generic technology overview.
- Clear language for the cultural and organisational shifts that decide whether digital pilots scale.
- A more precise read on adjacent technologies such as blockchain, Web 3.0 and IoT, and how they connect to AI strategy.
- The confidence to engage rather than retreat from the next wave of technology decisions.
Talks
A working tour of generative AI capability and what it changes inside business processes.
Key takeaways:
- Where generative AI delivers operating value today versus where it is still a pilot.
- The skill and process shifts required to absorb the technology.
- The strategic questions executive teams should be asking next.
A connected view of three technologies usually presented in isolation, and what their convergence means for business models.
Key takeaways:
- How blockchain, generative AI and immersive environments reinforce each other.
- The business model implications for industries built on intermediation.
- Where the early commercial use cases are emerging.
Why digital and AI programmes stall on culture, not technology, and how to lead the cultural side of the change.
Key takeaways:
- The cultural blockers that derail digital programmes inside established firms.
- What changes for middle management when AI enters daily work.
- Practical levers for leaders trying to move an organisation, not just a pilot.
A view of the workplace that emerges when generative AI is integrated into daily work, not treated as a side experiment.
Key takeaways:
- The roles and tasks most affected by generative AI adoption.
- How team structures and skills need to shift.
- What this means for talent strategy and learning investment.