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Project ZEYTGEYST

"It is not necessary to change. Survival is not mandatory."
— W. Edwards Deming
Companies worldwide are facing unprecedented challenges that exert existential pressures. The demographic shift in Western societies and throughout Asia results in shortages of skilled labor, reshaped markets, disruptions in knowledge continuity, and a lack of innovation. Complex regulatory frameworks (e.g., EU AI Act and GDPR) slow down transformation and necessary change. Society at large is also under pressure. The gap between retained societal output and the required capital to ensure the proper functioning of social security systems is widening. Low birthrates induce old-age dependency ratios that are unsustainable in the long run. Sustainability challenges in the context of climate change and beyond force difficult decisions, often trading one unfavorable outcome for another.

The Project

The primary goal of Project ZEYTGEYST is to enable companies and society at large to use AI in a safe, sustainable, society-synergistic way. In order to achieve this goal we follow an end-to-end philosophy integrating AI transformation within companies and other stakeholders with cutting edge research.

Advisory Capacity

Our advisory team has worked in various multi-cultural contexts across Europe, Asia (including Singapore, Hong Kong, and China), and the US. We possess a diverse skill set ranging from core AI expertise and IT infrastructures to psychology and more. Our experience spans multiple industries, including supply chain management, logistics, finance, manufacturing, production planning, and traffic management.

Consulting

Our consulting services encompass a comprehensive range of offerings designed to support organizations in their AI journey. We assist with technology introduction, ensuring that companies are well-versed in the latest AI advancements. Our vendor selection service helps identify the best partners to meet specific business needs. We provide guidance on right-sizing AI solutions to align with organizational goals and resources. Our build-vs-buy analysis aids in making informed decisions on whether to develop AI capabilities in-house or to procure them externally. We also help organizations develop prototypes and MVPs (Minimum Viable Products) to quickly test and validate AI concepts. Additionally, we offer change management strategies to facilitate smooth transitions and adoption of AI technologies. Finally, our road map exercises help organizations plan and execute their AI initiatives effectively, ensuring long-term success and sustainability.

Coaching

We provide executive level coaching for the use of AI in companies focuses on empowering senior leaders to effectively integrate artificial intelligence into their strategic decision-making processes. This specialized coaching helps executives understand the potential of AI technologies, identify opportunities for AI-driven innovation, and develop a roadmap for successful implementation. By enhancing their knowledge and skills in AI, executives can lead their organizations towards increased efficiency, improved customer experiences, and a competitive edge in the market. The coaching also addresses ethical considerations and change management strategies to ensure a smooth transition and sustainable adoption of AI within the company.

Research

Our research explores several key areas within the field of artificial intelligence. We examine AI's impact on the workforce, analyzing how automation and emerging AI technologies are reshaping job roles and employment landscapes. We are committed to developing sustainable AI systems that emphasize long-term viability and ethical responsibility. Additionally, we investigate AI applications across various target industries to better understand their practical implementations and benefits. Our work also highlights the numerous advantages offered by AI, as well as its creative potential for driving innovation and addressing complex challenges.

Publications

  1. Haase, J. (2025). Augmenting Coaching with GenAI: Insights into Use, Effectiveness, and Future Potential. Submitted. [arXiv] [doi]
  2. Haase, J., and Pokutta, S. (2024). Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration. Submitted. [arXiv] [doi]