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.