AI follows our strategy – we focus on clear priorities, measurable benefits and defined KPIs.

Holistic integration of AI: cross-departmental, technology-neutral and with the aim of making optimum use of synergies.

Sustainable AI requires internal expertise, defined structures and clear governance.

We actively embrace change and promote an open culture that is eager to learn – guided by ethical principles.

AI is not being ignored; rather, well-considered initiatives with clear benefits and risk assessments are being implemented.

Clear rules for AI. Governance, standards and controlled implementation are a matter of course for us.

The quality, protection and security of our data and AI systems are our top priority.

We rely on a balanced mix of internal expertise and targeted external support.

Clear focus, consistent prioritisation and full resource allocation for strategic AI projects

Competence is key – promoting internal know-how and supplementing it with external expertise where necessary.

AI needs leadership – visible support from management and clear, open communication are crucial for acceptance and implementation.

Qualitative data as a foundation – quality, availability, security and classification are crucial for successful AI applications.