- Enterprises are shifting from "deploy everything" to asking how to generate impactful outcomes while keeping AI costs under control.
- Costs leak across a "leaky" AI pipeline — fixes include master data, governed data access, cost-based model routing, persistent memory, and prompt/embedding caching.
- Token efficiency is now a competitive advantage: firms that invest in data foundations and caching extract more value from fewer tokens.
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