Your AI tool budget is growing, and your board wants to know what it produced.

But your vendor dashboards show spend, not outcomes, and your developer productivity tools show cost per PR, not token efficiency.

Nothing tells you whether the investment was justified, which tools to renew, or what great AI usage actually costs to scale.

Token Intelligence changes that. In this session, Natalie Casey, Lead PM and former AI forward-deployed engineer, shows how Faros traces every token to its source, classifies spend as productive, inefficient, or wasteful, and gives engineering leaders the visibility to act: which tools to keep, which to scope, which to cut, and what it would cost to scale your best engineers' AI usage across the org.

Built for CTOs and VPEs making capital allocation decisions, engineering directors managing team budgets, and platform teams responsible for AI infrastructure, this is the session for leaders who are done flying blind on AI spend.

What you'll see: A CTO answering the board question. A director approving (or declining) a token limit increase. A platform team catching a runaway workflow the same day it happens. All on real engineering data.