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Token Optimization

Token Optimization

FinOps for AI. Govern token spend across every provider

The AI revolution does not require reinventing FinOps. It requires accelerating it. AI splits one big decision into thousands of small daily decisions across five or more providers. Latil Token Optimization brings integrated financial management to every token, team and model.

Token FinOps

Providers in one view

5+AI providers

Daily AI decisions

1,000+

Budget control

Active

OpenAI accounts
Unified
All providers
Live
Exec reports
Ready
ScopeAll AI
Per token
5+ AI
5+
Providers in one view
1,000+
Daily AI decisions
Active
Budget control
All AI
Scope

How Token Optimization works

Turn traditional financial reporting into granular, token-level control. One FinOps practice covering all AI providers, with the same governance discipline cloud teams already trust.

1

Unify spend across providers

Consolidate OpenAI, Anthropic, Google and other AI accounts into a single view, including multi-organization billing, while keeping API keys and teams separate.

2

Govern thousands of daily decisions

Give budgets real efficacy: track tokens by team, workflow and model, cut waste, and stop silent overruns before they hit the invoice.

3

Turn token data into executive decisions

Executive reports translate token-level usage into business language. Role-based views adapt for FinOps, Finance and DevOps, and workflows can run from email or directly inside Claude via MCP.

Key use cases

Multi-provider AI billing

One control plane for OpenAI, Anthropic, Google and the rest of the stack.

Team and model budgets

Allocate and enforce token budgets by team, project, model and environment.

Executive AI cost reports

Turn raw token usage into the numbers finance and leadership actually use.

FinOps in the workflow

Trigger cost workflows by email or operate them inside Claude via MCP.

What it delivers

  • Integrated FinOps covering all AI providers, not a new silo
  • Token-level granularity instead of one opaque invoice
  • Budgets that stay effective when usage is split across teams
  • The same FinOps practice, accelerated for generative AI

For whom?

Finance, FinOps and platform teams in companies running AI across multiple providers that need cost control with the same rigor they already apply to cloud.

Key roles:

CFOHead of FinOpsFinOps EngineerFinance AnalystCTODevOps / Platform Lead

Let's explore what's possible

Book a 20-minute no-commitment call. We'll listen to your situation, map it to real solutions, and give you a clear picture of what's achievable.