Where AI creates value, and how to get there.
Most AI investments stall not because the technology is wrong, but because the strategy is. We identify where AI genuinely fits, prioritize what to build, and design a roadmap built for execution.
Without a coherent strategy, AI investment fragments into disconnected initiatives with no clear ownership and limited impact.
Without focus, spend fails to generate returns.
Assess data capabilities, AI maturity, skills, and strategic priorities.
Define where AI drives your goals, your ambition, and how success is measured.
Identify and prioritize concrete AI opportunities by business value and feasibility.
Adapt the operating model, establish governance, and build the technology roadmap.
Outline key initiatives, timelines, and ownership into a clear implementation plan.
Where you stand today, what the gaps are, and where to start.
Ranked AI opportunities, assessed by value and feasibility.
A concrete sequence of initiatives with timelines and ownership.
How AI decisions get made, owned, and reviewed.
Tool, platform, and team recommendations to execute.
AI strategy for a growing InsurTech
A Swiss InsurTech had no clear picture of where AI should sit in their business. We defined priorities and handed over a funded, executable roadmap. Within a year, the first initiatives were in production.
Use case roadmap for a P&C insurer
A Scandinavian insurer needed to know which AI investments would move the needle. We ran parallel workshops with business and tech to surface real opportunities tied to strategy. The result was a roadmap leadership could own, not just approve.
Building the first data & AI team
A Swiss insurer was ready to hire their first AI team but unsure what that should look like. We defined the mandate, shaped the team structure, and supported hiring over six months. They hired well and knew what to ask.
Let's talk through your situation.
Fredrik Moeschlin CEO & Founder
