Stop measuring AI usage. Start measuring outcomes.

Leaders don’t need another dashboard. They need proof the work moves faster, cleaner, better.

Track these 3, ruthlessly:

• Time-to-decision — how fast a human + AI team gets to “go.”

• Error rate — defects, rework, compliance misses.

• Experience quality — NPS/CSAT or equivalent for internal users.

  
  

Then do the boring, winning thing:

• Delete one step.

• Automate what’s left.

• Reinvest the time into higher-value work.

  
  

That’s how you bank the AI Dividend—without breaking trust or UX.

What’s the one metric you’ll move first?

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