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Use case · Finance & FinOps

Turn AI spend into a line item you can actually manage.

Attribute every model call to a team, budget, and cost center, with a hard monthly limit and an alert before it that stop overruns before they reach the invoice. Make AI cost something you see coming, not something you reconcile.

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Budgets: hierarchy, managers, and utilization
The problem

AI cost shows up after it's spent.

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.

One big provider invoice

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.

No guardrails on spend

Nothing caps a runaway agent or a retry storm. Budgets are found at month-end reconciliation, not enforced when the spend happens.

Planning blind

Usage swings with every launch and prompt change. Nobody can say where the month will land until the invoice does.

Why it matters now

AI is becoming a top budget line item.

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.

The solution

Attribution, budgets, alerts - built in.

Route every call through one plane that attributes spend to its owner, enforces budgets in real time, and routes each call by cost and quality.

Every call attributed.

Spend is attributed to budget, team, and cost center as it happens and priced per route, with every estimate labeled and unknown cost never shown as $0. Charge it back at cost, with a recovery margin, or as a profit center, so the monthly number breaks down the way your cost model already does.

  • Cost per budget, team, and cost center
  • Pass-Through, Cost Recovery, or Profit Center chargeback
  • Route-level rates, with a $0 cost basis on your own hardware
Budgets reporting: accountable spend and usage by budget

Budgets that enforce.

Set a hard monthly limit on any budget, with an alert before it, and Actualyze refuses the next call before an overrun hits. A workspace COGS ceiling holds total provider cost on confirmed rates, and you choose whether calls that can't be priced are served and flagged or refused.

  • A hard monthly limit on any budget, with an alert before it
  • Hard stop before overrun
  • Workspace COGS ceiling on confirmed rates
Budgets: hierarchy, managers, and utilization

Routing that cuts the bill.

Virtual Models send each call to the cheapest model strong enough for the job, with failover built in. Month-to-date spend comes with a projected month-end, and each month closes on a statement priced at the rates in force when each call ran.

  • Routing to the cheapest capable model, with failover
  • Projected month-end spend on every budget
  • Monthly statements: draft, reviewed, settled
Virtual Model Studio: active Virtual Models and their routing
The platform, mapped to the budget

One control plane does the cost work for you.

Each part of Actualyze turns AI spend into something attributed, limited, and settled on a monthly statement, so finance governs the number without policing every team by hand.

Operate

Model usage in view

See which models each team runs, so every dollar of spend traces back to a real workload.

Explore Operate
Optimize

Lower cost per call

Each call goes to the cheapest model that can handle it, so simple work stops paying top-model prices and your apps don't change.

Explore Optimize
Govern

Budgets, limits, and chargeback

Budget limits are enforced in the request path, and the ledger exports as CSV for your finance system: the core of turning AI spend into a managed line.

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Secure

Less spend on shadow AI

Bringing rogue usage onto the governed path means you stop paying for traffic you never measured or controlled.

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Integrate

One bill, every provider

A single endpoint across providers consolidates spend into one attributable surface instead of scattered invoices.

Explore Integrate
FAQ

Questions from finance teams.

How granular is the cost attribution?
Every call is attributed to its budget, team, and cost center as it happens, and to an agent when each agent runs on its own API key. Each call is priced per route, from a rate you confirmed, the seller's list rate, or the catalog reference, and anything that can't be priced shows as unpriced, never as $0. The ledger exports as CSV, filtered by budget and cost center.
Can we actually cap spend, not just watch it?
Yes. Set a hard monthly limit on a budget, with an alert threshold before it. At the limit, Actualyze refuses the call before any model is contacted. A workspace COGS ceiling can also hold total provider cost. Limits are enforced in the request path, not discovered at reconciliation.
How does routing reduce cost?
A routing model Actualyze trains sizes up each call and sends it to the cheapest model strong enough to serve it, and Actualyze keeps that routing current as new models arrive. Failover moves down an ordered list when a model errors. Apps call a Virtual Model, so you change routing centrally instead of in application code, without downgrading every call.
Will this give us numbers we can defend?
Every budget shows month-to-date spend with a projected month-end. Each month closes on one statement that moves from draft to reviewed to settled. Calls are priced at the rates in force when they ran, so a settled statement never moves when a rate changes later.
How do we charge AI spend back to teams?
Pick a pricing strategy: Pass-Through bills each team the true route cost, Cost Recovery adds a bounded margin, and Profit Center adds a margin you set. Models on your own hardware carry a $0 cost basis. For spend that can't be priced, Velocity serves the call, records it, and flags it for finance, while Accountable refuses it and names what's missing.
Does it work across multiple providers?
One endpoint fronts every provider, so spend across OpenAI, Anthropic, Azure OpenAI, and Bedrock consolidates into a single attributable surface instead of separate invoices you reconcile by hand.
How does this cut spend on shadow AI?
Usage routed through Actualyze is measured and governed; rogue keys and tools lose their reason to exist. You stop paying for traffic finance never saw or controlled.

Make AI spend a number you control.

Attribute every call, enforce every budget, and see where the month will land before the invoice arrives.

Start 30-day free trialBook a demo