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 ~$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. What you'll learn: