Return On Token Spend: How Companies Finally Solved the Quantification Problem in Engineering

Engineering has always had a quantification problem: we could measure activity, but never truly connect investment to output. Ironically, AI agents are solving it. Tokens are metered, agent work is traceable end to end, and for the first time the inputs to engineering are as measurable as the outputs. This talk shows how leading companies are turning that visibility into a return-on-token-spend model: which productivity metrics hold up in agentic workflows, which quietly break, and how to tie token consumption to shipped outcomes. You'll leave with a framework you can implement with your existing tooling, and the numbers to answer the ROI question your CFO is already asking.