AI Economics: Is Your AI Getting More Expensive for the Right Reasons?

Is your AI bill growing because the technology is doing more valuable work, or because inefficiencies are multiplying behind the scenes?

In this whitepaper, Foxtrot examines how enterprise leaders can distinguish healthy AI adoption from avoidable expense. Learn why token prices tell only part of the story, how agents multiply the work behind each request, and why the cost of completing a task successfully is a better measure of AI economics.

Explore practical ways to trace spending to individual workflows and agents, match models to the work, and uncover savings without sacrificing quality. Includes a construction technology example where Foxtrot reduced compute costs by 90%, plus a six-question self-assessment to help you examine your own AI spend.