Token spend management keeps AI budgets predictable by tracking, capping, and optimizing LLM usage across teams. It works through real-time dashboards, usage alerts, and cost-allocation rules, preventing runaway expenses. Engineering leads, finance teams, and product managers benefit most—gaining visibility into consumption patterns, enforcing quotas, and reallocating resources efficiently. This discipline turns variable AI costs into controlled investments, ensuring scalable adoption without financial surprises.
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