AI features can silently burn budget if every request hits GPT-4 with full context. Production teams need cost controls from day one.
Practical controls
- Model routing: cheap models for classification; premium models for final answers
- Caching: cache identical prompts and FAQ responses
- Token caps: per-user and per-org daily limits
- Context trimming: retrieve only relevant chunks (RAG), not full documents
- Monitoring: dashboard cost per feature and per customer
We implement these patterns in AI integration services. Related: AI for business applications · LLM security best practices.
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