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AI’s finally crossing the line from demos to day-to-day work, and the hardest part isn’t the model, it’s the operating system around it. We sit down with Claudia Max, Regional CEO of Allianz Benelux, to get specific about how a major insurer approaches AI implementation across core processes like claims, underwriting, and operations while keeping trust and data protection at the core. 
 
We talk about the shift from scattered proofs of concept to scaling real capabilities, including voice bots and enterprise knowledge assistants that help employees find accurate client and customer information faster. Claudia shares how Allianz builds a practical map of customer journeys, then identifies where AI agents can improve coverage checks, decision quality, and service speed. The big takeaway—generative AI creates the most value when it forces you to rethink the journey, not just automate a step. 
 
Because insurance runs on trust, we also get into governance and responsible AI—group-wide frameworks, local transformation teams, AI ambassadors in each department, and the non-negotiables like human-in-the-loop decision making and transparency. We cover the messy reality of vendor selection in a fast-moving market, plus why many leaders “see AI everywhere except in the P&L” and what to measure as adoption grows. 
 
If you’re building an AI strategy for a regulated enterprise, this conversation offers a grounded playbook for AI adoption, AI governance, workforce AI training, and customer experience improvements without losing control. Subscribe, share this with a colleague, and leave a review with the one AI challenge you want us to tackle next. 

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