Next quarter's cloud bill is already written.

Two rooms. One number.

In one room, finance sets a cloud budget from last quarter's bill. In the other, engineering plans a roadmap: two hundred and forty stories. Every one of them will provision something, scale something, or leave something running. Next quarter's bill is already written. Nobody has read it.

A ticket is a purchase order nobody prices.

Component, label, team, points. Enough to know which service it touches and roughly when it ships, which means enough to price it. Almost nobody does.

Every story lands on a service that costs money to run.

Map component to service, service to normalized cost and usage. The roadmap becomes a cost model of a system that does not exist yet. Four teams, one quarter, each planning in isolation, and each plan is reasonable. That is exactly why the failure is invisible.

The code is cheap. The users are not. For AI features, 80 to 90 percent of the spend is inference, which scales after launch with how many people actually use the thing.

The failure no single forecast contains.

The collision:three roadmaps, one shared service. No single team's forecast contains this failure. It only appears when you run all four plans against each other at once.

And the spend nobody owns: environments left running, experiments provisioned and forgotten. Orphaned, untagged, still billing, invisible to the very attribution your forecast depends on.

Simulate the quarter. Then change the plan, not the budget.

Usage agents play the customers who will adopt each feature after launch, and the four roadmaps run against each other in simulation. Where the bill breaks, the plan re-solves: resequence two epics, buy commitment coverage before the launch instead of after it, shard the hot service before the third team arrives.