AI Transformation Interim

Your key challenges:

• Legal certainty & compliance: Stringent requirements under the EU AI Act and GDPR, as well as uncertainties regarding practical implementation.
• Strategic Transformation & Change Management: 41% of CEOs do not know how to strategically integrate AI—organizational resistance, lack of employee acceptance.
• Skills Shortage & Professional Development: 71% of executives lack AI expertise, talent is leaving, and there is a high need for upskilling the workforce.
• Economic Uncertainty & ROI: 33% of CFOs view AI as a “nice-to-have” because costs are unclear and benefits are often not measurable.
• Additional Challenge: AI projects often fail not because of the technology, but due to internal factors such as poor data quality, inadequately documented processes, unclear responsibilities, and a lack of implementation expertise.

Our solutions:

• AI Readiness Check and AI Strategy: Start with an “AI Readiness Analysis” to assess organizational, process, and data-related readiness. Goal: Develop a clear AI strategy and transformation roadmap.
• AI orchestration: Support from use case identification through to employee acceptance.
• Implementation compliant with the GDPR and the AI Act: Ensuring compliance from data preparation through to certification. Collaboration with certification bodies (TÜV, DEKRA).
• Upskilling for managers, IT teams and staff: Practical AI training for executives, IT teams, and employees. Industry-specific upskilling programs.
• Use cases with a measurable ROI: Identification of concrete use cases with measurable ROI. Use of low-code AI solutions (e.g., SAP AI Core) for rapid results. Focus on implementation expertise: establishing structure, organizing implementation, and engaging teams.