Most teams are still asking where to use AI. The better question is where not to. In this episode, Adrian Matei, Product Manager from Jaja Finance, breaks down what actually happens when generative AI meets real users and real constraints. The result is far less hype, far more discipline, and a clear view of what it takes to ship AI that works.
We talk about Jaja’s chatbot, Airi, which is a RAG-based agentic system with six agents in production, serving customers who often face sensitive financial situations, such as debt.
Adrian explains the design philosophy behind Airi’s tone, which was built in collaboration with Jaja’s commercial and communications teams to ensure it matches the brand across every customer touchpoint.
A significant part of the conversation focuses on the practical realities of building production-grade generative AI systems. Adrian shares his thinking on when to use generative AI and when deterministic, rule-based approaches are simply the better choice.
We also touch on broader themes, including the future of AI at the edge and the emerging role of personal AI assistants.
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