Can You Prove It?

The AI Readiness Reality Check:
Most organizations are running AI experiments.
Very few are running AI-native businesses.

Here's the question that separates them:
"Can you point to a specific business outcome — revenue, performance, cost, speed — directly attributable to AI?"

Not "we're using it." Not "the team loves it."
Proof.

Quick self-score. Pick your honest answer:
🔴 "We can't quantify it — AI is happening but no one's tracking outcomes."
🟡 "We sense it's contributing but haven't connected it to real metrics."
🟠 "We have data points in specific areas but nothing systematic."
🟢 "We actively track AI's contribution against defined KPIs every quarter."

Most organizations will likely fall somewhere between 🔴red and 🟡yellow.
Not because they lack smart people.
Because no one defined success before AI got deployed. No one owns the measurement. AI was brought in to impress — not to activate.
That's the gap. And it's fixable.