A field guide to AI cost optimization for VP Engineering teams running clinical and operational LLMs in production.
Inference now eats 85 percent of the enterprise AI budget.
In healthcare, the problem looks different than it does at a SaaS company.
Quality matters more in healthcare than in almost any other domain.
Not every request needs the frontier model. A medication reconciliation summary does.
For any task that runs more than 50,000 times a month, distillation pays. A distilled model is 5 to 10 times smaller, runs on cheaper hardware, and typically holds 95 percent of the original's accuracy on the narrow task it was trained for.
About 30 to 40 percent of clinical LLM traffic in our audits is duplicate or near-duplicate. The same patient message gets summarized for three different staff.
Not every request needs the frontier model.
For any task that runs more than 50,000 times a month, distillation pays.
About 30 to 40 percent of clinical LLM traffic in our audits is duplicate or near-duplicate.
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