Attribute every model call to a team, product, and budget, with caps and alerts that stop overruns before they reach the invoice. Make AI cost something you forecast, not something you reconcile.
A single provider bill lands each month with no breakdown and no ceiling, so finance discovers AI spend at reconciliation instead of governing it in real time.
A provider bill arrives with no split by team, product, or feature. You can't attribute or defend a number you can't break down.
Nothing caps a runaway agent or a retry storm. Budgets are found at month-end reconciliation, not enforced when the spend happens.
Usage swings with every launch and prompt change. Planning next quarter's AI budget turns into a guess you can't stand behind.
Token volume climbs with each agent and feature shipped. AI is on track to surpass infrastructure costs as a standalone cost center.
A single deploy or retry loop can multiply spend overnight, with nothing in the path to catch it before the bill comes.
FinOps teams need full visibility into who is spending what, how budgets are tracking, and what the spend returns.
Route every call through one plane that tags spend to its owner, enforces budgets in real time, and routes to the cheapest capable model automatically.
Spend is tagged to team, product, model, and environment as it happens, in real dollars not token estimates, so the monthly number breaks down the way your cost model already does.
Set hard and soft caps per team: alerts fire at every threshold, and the gateway hard-stops calls before the overrun hits.
Requests route to the cheapest model that meets the bar, with response caching and failover built in. Spend trends roll up into a forecast you can defend instead of revise.
Each part of Actualyze turns AI spend into something attributed, capped, and forecastable, so finance governs the number without policing every team by hand.
Attribute every call, enforce every budget, and forecast with confidence before the invoice arrives.
