Artificial Intelligence delivers the greatest value where it reduces operational effort, improves decisions, and makes existing services efficiently scalable. Areas with high data volumes, recurring tasks, and measurable economic benefits are particularly suitable. What matters is not the technology deployed, but the targeted use of AI at the relevant points within the organization.
In many companies, significant value lies in automating operational routine tasks. These include administrative tasks, review and approval processes, evaluations, or standardized communication. AI can reduce time requirements, lower error rates, and relieve employees of repetitive activities. Another key lever is decision support, for example through forecasts, pattern recognition, or the structured preparation of complex information.
Furthermore, AI delivers great benefits in scaling knowledge and services. Internal assistance systems, intelligent search functions, or AI-supported analysis tools enable more efficient use of existing knowledge and make it more widely available. AI can also create value in customer contact, for example through faster response times or personalized communication.
A common misconception is the assumption that the greatest value automatically lies in the most technologically sophisticated applications. In practice, the most sustainable effects often arise from pragmatic, easily integrable use cases that directly connect to existing processes. As part of an AI potential analysis, precisely these value levers are systematically identified and prioritized. Building on a clear baseline—for example from the AI Readiness Quick Check—this creates a focused view of where AI can actually make the greatest contribution for the respective company.
