Originally published on AI Tech Connect.
What a usable forecast looks like Caching, routing, batching, prompt compression, per-tenant showback: every one of those is a response to an invoice that has already arrived. They are good techniques and they belong in the toolkit, but none of them can be practised before you have production traffic. Forecasting can. It is the only cost discipline available to a team that has not launched yet, and it is the one that decides whether the price on your pricing page survives contact with real users. Most teams do it badly, and the reported numbers are unflattering. Industry survey figures suggest only about 15 per cent of companies can forecast AI costs accurately, with most unable to land within plus or minus 10 per cent of the eventual bill. Seventy-three per cent overshoot their AI…
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