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Your AI Strategy Is Lying to You

Fix the Architecture Behind It

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Picture of Ana Ilievska

Featuring:

- Chris Bordeck - Lead AI Architect at MSQ DX

- Ana Ilievska - Product Marketing Manager at Storyblok

Most AI initiatives don’t scale beyond the prototype stage. Why?

From an architectural perspective, the problem is rarely the AI itself. Legacy systems, monolithic platforms, and fragmented data often limit what AI can actually do.

As a result, projects stay stuck in experimentation and don’t make a real impact.

In this session, a Lead AI Architect and a Product Marketing Manager will share what really happens behind the scenes when AI fails to take off, and what needs to change.

You’ll learn:
• How legacy platforms, fragmented data, and rigid content systems are limiting AI
• What to check before implementing AI in real-world environments
• Why continuous “workarounds” are a warning sign of deeper architectural issues
• How to assess if your current stack can support AI at scale.

This is not about tools or trends. It’s about the technical foundations required to make AI work in practice.

📍Join us to identify the system and workflow issues blocking your AI success.

⏰ All in 30 minutes. Just actionable insights for anyone planning AI projects or modernising their legacy systems.

Save your spot

  • For anyone involved in AI initiatives!
  • Tuesday, April 28th 2026
  • 10AM EST / 3PM GMT / 4PM CEST
  • 30 minutes + live Q&A
  • Language: English

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