The model budget: How to right-size intelligence for the enterprise

The largest model is rarely the right model for every task.

As teams move from chat to coding, research and multi-step workflows, model spend can climb fast. The right architecture pairs model choice with smart routing, company context and an efficient harness so every request gets just enough intelligence.

We share results from a study across more than a hundred enterprise tasks, comparing answer quality against cost per task for several routing strategies.

You'll also hear how one systems team cut model spend while raising answer quality across their help desk and finance workflows.

What you'll learn

• How model choice, reasoning depth and context shape the cost-quality tradeoff
• Where routing and harness design improve efficiency
• A simple framework for judging AI systems on outcomes and cost