Digital transformation and the process of large organizational change is a complex undertaking. To ease the process, organizations can employ champions who act as facilitators, guiding individuals towards a desired outcome. In this study, we explore the function and purpose of champions, investigate which qualities and responsibilities can be emulated by AI, and the resulting implications for organizations. A qualitative research strategy was conducted through semi-structured interviews with experienced professionals in digital transformation and AI.

The findings of the thesis prove the effectiveness of a top-down and bottom-up approach in overcoming resistance to change, where champions play a pivotal role as enablers. In practice however, challenges in time constraints and lack of recognition hinder the effectiveness of champions. Our findings show that AI, specifically foundation models with related techniques, can shoulder a significant part of the champions responsibilities. Knowledge sharing is central to change, and an AI solution can enhance access to organizational knowledge through continuous availability and consistent communication, guiding users through complex processes and systems. Limitations in the technique are found in offering proactive support and understanding implicit and nuanced organizational processes. The organizational implications reside in navigating the rapid advancements of AI, as organizations need to promote continuous learning and standardize processes to maximize the value of foundation models. Remaining model agnostic is important, andÄmdeveloping AI and data governance frameworks is essential to ensure alignment with the overall organizational strategy.

What is clear is that foundation models and the new generation of AI mark the beginning of a technological shift. AI should be viewed as a collaborative tool to enhance productivity, which will necessitate a shift in roles and responsibilities towards strategic and critical thinking. To maintain a competitive edge, organizations must dedicate time and resources to adopt new AI technologies.