Only 5 % of AI proofs-of-concept ever make it to real production. In this Innovate or Die powered by Innovation Week interview, Jan Tlaskal, Chief Data Engineer at Galytix, reveals how their agentic AI systems overcome that hurdle—transforming credit risk analysis and insurance claims into streamlined, high-impact processes.

💡 What you’ll learn:

• • Key differences between traditional generative AI and agentic AI,
  • why most enterprise AI projects fail—and how to avoid it,
  • how Galytix products cut costs and speed decisions,
  • why Europe can be a powerhouse for AI innovation.
    

👉 Don’t miss this deep dive into the future of AI in finance, insurance, and beyond.

Interview Topics:

• 1:24 Traditional Gen AI vs. Agentic AI
• 5:34 The state of AI adoption in enterprises
• 7:15 Galytix´s product suite: CreditX, ClaimsX, DataX
• 12:49 Human analysts + AI agents: collaboration, not competition
• 15:41 The story of Galytix
• 17:01 European innovation & investment challenges
• 19:11 Why Galytix stays rooted in the Czech Republic

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Publisher:
⁠⁠Innovation Week⁠⁠