At the organizational level, we address the following five areas:
AI Strategy
It all begins with strategy. It translates the purpose of AI into the specific context of the organization: Which goals should it support, which problems should it solve, and which opportunities should it unlock? A clear strategic framework provides direction—and ensures that AI does not become merely an experimental playground.
AI Readiness
Assessing AI readiness reveals where the organization stands today—and which levers need to be adjusted. We analyze the data foundation, process logics, role and competency profiles, as well as cultural openness and the organization’s learning mindset. Together, these dimensions form the foundation for sustainable AI development.
AI Use Cases
A central step is the development and implementation of use cases. This is where AI becomes tangible: we support you in identifying suitable areas of application, testing prototypes, and integrating the results into existing processes. In this way, strategic intent is transformed into concrete value.
AI Governance Structure
It is essential to establish a governance structure that ensures security and accountability—including questions of transparency, traceability, data protection, and ethics. AI should not only be effective but also used responsibly and safely.
Change Management
As experienced change facilitators, we also support specific change processes that arise from working with AI. Every technological implementation brings with it changes in collaboration, communication, and decision-making behavior. We design these transitions to be clear, participatory, and effective—through open dialogue with leadership, employees, and representative bodies.
