Your AI engineering platform spends $50k/month on LLM API costs. Leadership wants a 60% cost reduction without measurable quality regression. You cannot compromise on the core value proposition. Walk through your cost reduction playbook in priority order: identify where costs are concentrated (which endpoints, which users, which use cases), apply caching to eliminate redundant calls, right-size models (use Haiku/Haiku for classification, Sonnet only for generation), optimize prompt length, implement request batching, and consider fine-tuning a smaller model on your top use cases. For each lever, estimate the cost saving and quality risk.