Governing AI Spend Across a Team on OpenRouter

Your team’s AI bill is the total of every key each engineer holds. One developer creates a key for a side experiment. Another wires a few keys into a CI pipeline. Someone else pastes a token into a notebook, gets the prototype working, and forgets the key is still active. None of that is careless on its own, but add it up and the bill gets hard to explain. OpenRouter has 6 controls that bring order to it, and this article walks through each one, the team it suits, and the plan it needs. The controls layer on top of each other. So start with the cheapest one that covers your risk, and only add more when you need them. When two controls overlap, the stricter one applies. Allowlists intersect and the lower budget blocks first. What’s the fastest way to govern team AI spend on OpenRouter? Pick the cheapest control that fits your team’s risk, then layer up. A small team often only needs per-key limits plus the Activity dashboard on day 1. Each control does one of three jobs. Budgets and per-key limits decide how much can be spent. Model and provider allowlists decide what it can be…