Return on Token: Who Owns the Hours AI Gives Back [66]

Show notes

Nate gets handed a fifteen percent AI efficiency target with no definition attached, and watches his regions buy eleven tools instead of creating capacity. He and Ava work out how to name the output of reclaimed hours before a single licence gets signed.

What Nate and Ava discuss

• Why one narrow use case per role beats a broad AI program — time-to-demo for SEs, meeting write-ups for AEs
• Return on Token: pricing the learning curve, process rework and overlapping tools, not just licence fees
• Central ownership at 200 SEs versus a named twenty percent role at twelve — and how to measure quality, not just speed

The move

Pick one admin task per role, target twenty to thirty percent of that time, and write down what the freed hours buy before you buy the tool. Put a date on it — one quarter — and cancel if the hours went nowhere.

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