Together with one of Germany's leading insurers, we transformed abstract ideas about AI and its capabilities into a concrete prototype. As a result, repetitive tasks were reduced along the process, freeing up time for higher quality client interactions.
People play a key role in any kind of technological transformation. This is especially true for AI implementations, which require the seamless collaboration of all actors involved. With our mapping approach, we managed to facilitate exactly that.
With our expertise in AI-driven prototyping tools, we established a hands-on approach that quickly turned ideas into testable prototypes—some of them fully functional.
By connecting technological and social dimensions, we developed a collaborative process that brought together humans and AI agents in a more effective and fulfilling way. together, they focused on mapping how the unit creates value and identifying where there are opportunities to enhance this flow with AI.
By working directly with the unit’s specialists and integrating their workflows into our approach, we generated valuable quantitative and qualitative insights that served as the base for further strategic decisions.
There is no such thing as a separated AI strategy and a normal organisation strategy—they are one. For new technologies like generative AI to work, they must be closely integrated with the organisation’s overall strategy.
By adressing not only the technical aspects but also the social dimensions of AI, we significantly enhanced the projects chances for successful implementation and adoption within the organisation.
Having strategy prototypes at our disposal tremendously simplified negotiations with key stakeholders. They provided a shared foundation that allowed us to focus on the details that matter most.
