TOKENOMICS FOR THE DEEPLY SKEPTICAL

Someone's about to ask what all those tokens bought.

AI token spend is the new cloud bill — and most engineering orgs are learning that lesson the same hard way they learned the last one. Find out what token management actually measures, what it misses, and what the orgs getting ROI did differently from the start.

What you'll learn

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Why token spend is a lagging indicator

 

Token usage tells you that your engineers are using AI. You need different data to know where that usage is going — and what’s driving the gap between adoption and delivery outcomes.

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How to make strategic AI bets

 

Whether you're governing AI spend across a large team or deciding which experiments to run with a limited budget, the decision logic is the same. This session gives you a framework for getting from "use more AI" to a specific, measurable starting point.

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What good AI governance looks like

 

Ed Quick built a program that took a resistant engineering team to a 300% productivity lift with fewer engineers. He walks through the conditions that made it work: scoped problems, defined guardrails, outcome measurement from day one. 

Ed Quick

Ed Quick

Technology & Product Executive
ex-Cars.com, AWS & SurveyMonkey

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Amy Carrillo Cotten

Director of Client Transformation, Uplevel

 

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MC Johansen

Executive Transformation Consultant, Uplevel

ex-Docker & CircleCI

This webinar is for engineering leaders who:

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Are fielding pressure to show AI ROI and want a clearer way to frame the conversation
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Watch token spend go up and wonder what they're actually buying

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Need a governance approach that works at org scale

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Want peer perspective on what's working — and what's burning budget