AI spending is exploding.
Pilots succeed.
Demos impress.
Dashboards look promising.

So why do 70–90% of AI initiatives still fail to generate measurable business value, according to MIT, Gartner, BCG, and McKinsey?

In this episode, Alex and Jamie break down the uncomfortable truth:
AI isn’t failing... the systems it enters are.

We uncover the five root causes of AI ROI failure:

• The gap between designed vs. lived workflows

• Hidden decision logic no model can see

• Coordination debt that kills throughput

• Treating AI as a tool instead of a system

• Measuring value in the wrong place

And then we outline the system-level fix most teams overlook:
Operational Truth → System Coherence → Coordinated Intelligence.

If you want AI to create real, repeatable ROI, this episode will change how you think about workflows, decisions, and intelligent systems.

Listen now if you’re a founder, operator, or leader who’s tired of hype and wants clarity, not noise.