I started by immersing myself in Siemens’ sales ecosystem to understand both the reps’ challenges and the customers’ expectations. Through stakeholder and customer interviews, complemented by a heuristic evaluation and survey, I was able to map the critical friction points that slowed down conversations and undermined usability. From there, I facilitated assumption mapping and “How Might We” workshops that allowed the team to align on business priorities and identify the most promising opportunities for AI support. Once the direction was clear, I moved into design—beginning with low- and mid-fidelity prototypes to validate flows and conversation structures early on. Usability testing guided refinements and ensured the tool felt intuitive, while close alignment with Siemens’ brand guidelines guaranteed accessibility and visual consistency. Alongside the design work, I collaborated with engineers to explore how AI could enhance the experience, from recommending dynamic questions during meetings to automatically generating summaries. Finally, I worked on iterative improvements, delivering a polished high-fidelity prototype, documenting all design decisions, and handing over a Figma system that the development team could build from seamlessly.