Zurich, Zurich, Switzerland
Most enterprise AI engagements stall not on the technology but on the discipline. Four patterns separate firms that ship AI from firms that ship slideware: how they scope, how they qualify, how they sell, and how they govern. I help mid-market enterprises and consulting firms get the discipline right before they invest in the model. I've spent the last 15 years at the intersection of technical systems and organizational performance, learning that the technology is rarely the bottleneck. Aerospace engineering taught me the discipline of scoping consequential systems. Six Sigma taught me how operations actually scale. The data science practice I led at ISC over the past three years taught me which AI engagements ship and which stall. As Co-CEO of Insight Softmax Consulting, I run our enterprise AI advisory line jointly with our Managing Director. ISC has grown from 50 to 75 employees on a mix of mid-market AI engagements, partner co-deliveries with SoftwareOne and Spectro Cloud, and a sharp focus on what the Big-4 cannot do at our price point. We publish openly on AI engagement scoping discipline because it's the work most firms get wrong. Background: Mathematical Engineering degree (Bundeswehr), MBA in International Business (Hult), Six Sigma Black Belt. Adjunct Professor at Hult teaching executive analytics and AI strategy to MBA students. Earlier: led engineering teams of 80+ in aerospace and defense. If your firm is scoping an AI engagement and wants a second read before signing, or wondering why prior AI projects haven't shipped, I welcome a conversation.
Lead Insight Softmax Consulting's enterprise AI advisory business. Drive partnership-led go-to-market through joint frameworks with SoftwareOne (the ONE-AI Framework for end-to-end AI delivery) and Spectro Cloud (PaletteAI services for AI infrastructure at the edge). Lead enterprise client engagement, EU AI Act readiness advisory, and ISC's published thought leadership on AI engagement scoping discipline. Shape ISC's positioning in the mid-market gap between Big-4 strategy houses and single-capability boutiques.
Oversee operations, delivery, and the Data Science service line for ISC’s US entity. Responsible for ensuring client engagements deliver measurable outcomes and building ISC’s capabilities in data science, HPC, and open source infrastructure. ISC has grown from 50 to 75 employees during my tenure, serving clients including G-Research, BMW, Autodesk, and State of CA GO-Biz.
Joined ISC to build operational infrastructure during a period of rapid growth. Promoted to COO within 8 months.
Lead ISC’s European operations and oversee the Data Science practice. Work with clients across financial services, manufacturing, and logistics to assess data science readiness and implement organizational changes that enable successful analytics initiatives. Focus areas: data strategy development, organizational readiness assessment, data science team effectiveness, and bridging the gap between business leadership and technical implementation.
Teach executive-grade analytics to MBA and graduate students at Hult Boston. Course bridges technical AI and analytics capability with the business decision-making frameworks executives need. Students leave with the discipline to evaluate AI engagements, scope analytics initiatives, and ask the right questions of technical teams - the same operator skills the rest of my work focuses on. Teaching forces clarity. If a framework cannot be explained to an MBA student in 90 minutes, it is not yet ready for a board room.