Provider APIs and model routing in one place. See what every team, agent, and model actually costs, and cap it when the budget runs out, not when the bill arrives.
AI spend is scattered across personal subscriptions, enterprise seats, API keys, and model providers, with no single view of where the money goes.
Personal Claude and ChatGPT plans get expensed on top of company seats. Usage across the two never lands in one place.
Tokens bill to a single org-wide key. There's no way to tie spend back to the team, product, or agent that drove it.
Autonomous agents loop, retry, and burn tokens with no budget, no alert, and no ceiling, while you get left with the bill.
AI moved into production across every team at once. Spend compounds month over month while the tooling to govern it lags behind.
Employees bring their own subscriptions alongside company seats. Finance sees invoices, never the usage that drives them.
The same visibility and chargeback finance demanded of cloud is now expected of AI, but spend is split across every provider.
Actualyze sits in the path of every AI call to meter usage, attribute cost, and enforce budgets across every provider and every team.
Every call through the platform is metered in one normalized ledger; token counts captured on every request, attributed to the team and budget that made it, across every provider.
Internal allocations break every dollar down by team, agent, and model. Attribution coverage tracks how complete that mapping is so chargeback is provable rather than estimated.
Create budgets mapped to your business, set alerts to protect against overage, and watch burn-rate forecasts against your ceiling. Alerts fire before a runaway workload becomes a runaway invoice.
It isn't a bolt-on. The same control plane that governs, secures, and routes every call is what makes spend visible and predictable.
Get one view of every dollar across every team, agent, and model, plus the controls to keep it predictable.
