I have years of experience helping organisations roll out AI systems, measure their success, monitor their quality, and design plans to move beyond Proof-of-Value and Minimum Viable Products.
Companies implementing AI without a strategic roadmap and clear ROI metrics risk project failure or, at best, delivering underperforming solutions. They often get stuck in PoC and MVP stages that, while improving user and business value in the best-case scenario, ultimately fall short of their full potential and trail behind the competition. I design strategic AI solutions that empower organizations to drive financial growth and maximize their returns.
Having successfully deployed dozens of AI models into production. These systems have driven substantial business and user value for millions of people across Switzerland and Europe. In fact, if you live in Switzerland, it is highly likely that you or someone you know has already interacted with an AI system I developed.
A successful AI roadmap requires building an experimentation platform that helps your organization move from a PoV and MVP to a more valuable solution, and stay a step ahead of your competitors. Over the past years, I have evaluated dozens of AI models and helped build experimentation platforms that have allowed us to evaluate hundreds of models offline and through A/B tests.
AI systems do not exist in isolation, and the failure of one can cascade into failures in others. Furthermore, AI systems that work properly in isolation can suddenly fail when integrated into a larger system designed to deliver compound value. My personal experience is that when organization maturity increases, the missed added value lies in poor AI system integration into the ecosystem.