Feature

Cost Attribution

Map AI spend to teams, projects, apps, keys, models, and providers so every dollar has an owner.

Attribution view

Spend grouped by owner and workload.

Owner

Team + app

Route

Model + provider

Review

Invoice

New capabilities

What your team gains with Concentrate

Every dollar has an owner

Tie spend to the team, project, app, and key behind it, so AI cost can be charged back and defended instead of landing as one unexplained provider bill.

Team

Support

Owner of the support bot spend.

Model

Claude

Model route behind the cost.

Provider

Anthropic

Provider path behind the model.

Explain the bill by model and provider

Break a charge down to the models and providers that drove it, so finance can answer 'what is this?' without filing a ticket to engineering.

See what moved between periods

Compare owner-level spend across date ranges to find the team or workload behind a month-over-month jump, while there's still time to act.

Who Concentrate is designed for

How AI cost attribution turns one provider bill into owned spend

Cost attribution maps AI spend to the team, project, app, key, model, and provider responsible for it. Without attribution, AI shows up as a single growing provider invoice that nobody can fully explain. With it, every dollar traces to an owner and a workload, which is what makes chargeback, budgeting, and renewal conversations possible.

Owner on every request

Spend is tagged with the key and team that made each call, so totals roll up to real owners instead of a shared account.

Down to model and provider

A charge can be traced to the model route and provider behind it, so finance can explain the bill without engineering reverse-engineering it.

Chargeback-ready breakdowns

Owner-level totals over a date range give finance the numbers to charge AI cost back to the teams creating it.

Feeds budgets and alerts

Attribution is the basis for token allocation and , so owned spend becomes owned limits.

Feature basics

Frequently asked questions

What is AI cost attribution?

AI cost attribution maps spend to the team, project, app, key, model, and provider responsible for that usage. It converts a single provider invoice into owned line items that can be reviewed, budgeted, and charged back.

Why does AI cost attribution matter?

It lets finance explain the bill without a ticket to engineering, and it lets engineering see which workloads are worth optimizing. When AI becomes a meaningful budget line, 'who used this and why' has to have an answer.

How is cost attribution different from spend tracking?

Spend tracking is the live view of totals and trends; cost attribution is the mapping that gives those numbers an owner. In practice they work together — attribution makes spend tracking answer 'whose spend is this' rather than just 'how much.'

One API for every major LLM provider — routing, spend, logs, and controls in one place.

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