How to Control AI Tool Costs Without Slowing Teams
AI tool costs can rise quickly when every team experiments with assistants, meeting tools, coding copilots, research systems, automation platforms, and agents. Cost control matters, but heavy-handed blocking can slow useful adoption. This guide gives teams a practical way to manage AI spend without stopping the workflows that are actually working. The goal is not to make AI use cheap at any cost. The goal is to know which tools are being used, which workflows create value, which spend is waste, and which AI experiments deserve more investment. ...