Optimizing AI reasoning and model costs

AI costs rarely spiral from one mistake. They compound from quiet things happening at once: invisible token costs, runaway agent loops, and routing every question to the most expensive model regardless of complexity.

Here’s a pattern the Ejento team often sees. A healthcare organization’s inference spend jumped from around $9,000 to $70,000 a month, driven by a retrieval regression quietly pulling documents 8x longer than needed, invisible until someone checked unified telemetry.

We will share our experience and take questions from the audience.