Modernization in a conservative industry

Klaus Rieger presents how Baloise is advancing its data-driven transformation in a regulated insurance landscape - including cloud migration, a centralized data science platform, and a lean yet powerful implementation model that enabled broad adoption across teams. Several AI and ML use cases already in production - from dynamic pricing on insurance comparison sites, to a cutting-edge GenAI-based financial planning assistant - demonstrate the "proof of value" approach and highlight how governance, scalability, and low operational overhead enabled Baloise to rapidly build sustainable AI that is deeply integrated into the business.

Key Takeaways:

1. Decentralized Teams Need a Common Platform
   Domino enabled consistency, governance, and reproducibility across siloed teams in risk, pricing, and advisory domains.
2. AI Innovation is Most Effective When Business-Aligned
   Success came from targeting practical use cases like pricing harmonization, GenAI for financial advice, and fraud detection.
3. Balance Innovation with Risk and Control
   Baloise scaled experimentation while staying audit-ready—thanks to Domino’s governed environment that reduced risk exposure.