Why Your Tech Stack is Breaking Your AI Strategy

AI was supposed to make businesses faster, smarter, and more agile. Instead, many companies are discovering that AI projects are stalling, pilots are failing in production, and existing technology stacks are becoming even more complicated.

In this episode of Today in Tech, Keith Shaw speaks with Tempo CEO Vic Chynoweth about why fragmented SaaS environments, disconnected data, technical debt, and outdated workflows are preventing enterprises from getting real value from AI.

They discuss why companies cannot simply layer AI onto broken systems, the difference between becoming AI-relevant and AI-native, why impressive AI prototypes often fail in production, and how the “illusion of intelligence” can make inaccurate results look trustworthy.

They also explore whether companies should build or buy AI tools, when organizations need to rethink their technology architecture, and what separates companies successfully operationalizing AI from those being buried by it.

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