Why AI Fails in the Real World

Your AI works perfectly in testing. So why does it fall apart in the real world? Matt Soltau, Global Director of Strategy and Operations at Intelliphas, joins The Digital Transformist to reveal why even the most promising AI projects fail when they move from concept to production. From an AI-powered call center in Singapore confidently giving customers incorrect information to companies still relying on printing, scanning, and emailing documents in 2026, Matt exposes the hidden data and infrastructure problems holding businesses back. In this episode, we explore: - Why AI succeeds in a sandbox but fails in production - How poor data integration can derail even the smartest AI solutions - Why outdated systems and disconnected data create expensive bottlenecks - The hidden security risks of citizen developers - How to balance AI innovation with governance and compliance Matt brings real-world experience from regulated industries to explain why successful AI transformation isn't just about the technology. It's about building the right foundation. If your organization is investing in AI, this is a conversation you don't want to miss. Chapters: 00:00 - Intro 01:18 - Common AI and Data Readiness Problems 04:27 - Real Story: Insurance Call Center AI Failure 07:58 - Sandbox to Production: The Critical Leap 11:10 - Data Governance in the Age of Citizen Developers 14:56 - Balancing Innovation with Compliance Get Mike's book "Superpowered" on Amazon: https://www.amazon.com/dp/B0F1Y2M3X4 Caxy Interactive -- Showing organizations how to play offense with technology. https://www.caxy.com | [email protected]