1. You Don’t Know Where to Start
You recognize the potential of GenAI, but your company lacks a clear roadmap: Which use cases bring the greatest added value? How do you prioritize implementation? Which quick wins can you realize immediately? Without a structured methodology for identifying and evaluating AI use cases, your team gets bogged down in technical experiments instead of measurable business successes.
2. They Do Not Get Beyond Pilot Projects
Initial trials with GenAI remain stuck in your company: The prototypes are promising, but the road to productive use seems endless. Technical hurdles when integrating into existing systems, a lack of internal expertise for sustainable support and uncertainties about scaling prevent innovative pilot projects from becoming company-wide success stories.
3. Your Teams Cannot Use GenAI Effectively
Although your employees have access to GenAI tools, their productive use in everyday working life falls far short of expectations. Without in-depth training in prompt engineering and a lack of understanding of the possibilities and limitations of AI systems, the potential for increasing productivity is not fully exploited. The investment in GenAI tools does not pay off if users do not know how to use them effectively.
4. Day-to-Day Business Leaves No Time for AI Transformation
The implementation of your GenAI strategy is failing due to limited resources: Your teams are fully utilized by operational business and have neither the time nor the specialized expertise to design, develop and implement AI solutions. Without an external partner who has the know-how and implementation capacity, your AI ambitions will get stuck in the planning phase.