A one line status update and a complex quote review are not the same job, and paying premium model prices for both is the single most common way businesses overspend on AI. The fix is not a bigger budget. It is routing.
What routing actually does
A router sits between the request and the model providers, and sends each task to the model that fits it: cost, latency, and quality all weighed per request, not decided once for the whole system. A simple classification or lookup goes to a cheap, fast model. A task that needs real reasoning goes to a premium one. Peer reviewed testing on this approach has shown cost cut by roughly 85% while retaining 95% of top tier model quality.
Why the trend is toward cheaper, not more expensive
Model prices fall as new, cheaper models enter the market and as competition between providers intensifies. A business locked into one model does not benefit when a cheaper option appears elsewhere. A business built on routing captures that saving automatically, the moment a better option exists, without anyone having to re-architect anything.
What this looks like in practice
Routing 70% of a workload to a lightweight model can cut total cost by roughly two thirds with no meaningful drop in the answers that matter, because most requests in a real business are not hard reasoning problems. They are lookups, summaries and drafts, and a lightweight model handles those perfectly well.
Each request goes to the most cost effective model for the task. We draw on several providers, so there is no lock in, running cost trends down as better and cheaper models arrive, and you never pay premium prices for simple questions.