Create an 'Intelligent Model Router & Cost Optimizer': An AI/ML middleware that analyzes incoming prompt complexity in real-time and routes the request to the smallest, cheapest model capable of handling it with >95% confidence. If the small model fails, it cascades to a larger one, logging the decision tree to continuously train a routing policy that minimizes cost while maintaining quality SLAs.

Enterprises are burning cash on oversized frontier models for simple tasks (classification, extraction, summarization) where smaller, specialized models would suffice. The 'one-size-fits-all' approach to LLM integration is creating unsustainable unit economics. CTOs lack the tooling to objectively benchmark task performance across model sizes, leading to over-provisioning. The financial cost is a 10x-100x inflation in inference bills with no corresponding value add.