/

/

LLM cost allocation by team, feature and customer

LLM cost allocation by team, feature and customer

LLM cost allocation by team, feature and customer

Allocate model spend from OpenAI, Anthropic, Azure OpenAI, Bedrock, Vertex AI and OpenRouter to teams, features and customers.

Runs in

Claude · Slack

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Costory app dashboard 'Claude models usage': waterfall chart of cost change by Claude model over 12 months, a cost distribution donut and a cost details table, in the demo workspace

Playbook

What the agent does

From what Costory notices to what you decide. Costory suggests the next step in conversation, and you decide whether to go ahead.

Costory notices

Daily, as LLM provider costs refresh.

Costory investigates

01

Use native attribution

API key per team (Anthropic), projects (OpenAI), IAM roles (Bedrock), labels (Vertex AI), deployments or tags (Azure OpenAI).

02

Normalize

All providers in one cost model.

03

Allocate

Virtual Dimensions map keys, projects and roles to teams and features.

04

Track per customer

Add usage metrics to split shared keys.

Where you see it

Claude

You decide

AI and FinOps leads agree on the allocation keys.

Why it matters

Model spend spreads across providers, and invoices rarely say which feature or customer caused it.

Who it’s for

AI engineers, CTOs, FinOps leads

Where it runs

Claude · Slack

What you get

What lands in front of your team

Owned AI spend

Every model call has a team.

Cross-provider

One view for all LLM providers.

Per customer

Once usage metrics are added.

Sources and assistants

What it connects

The billing data, context and assistants this playbook uses. Each links to its setup page.

The billing data, context and assistants this playbook uses. Each links to its setup page.

Example prompts

Or drive it yourself

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

Allocate

What did each feature spend on LLM APIs last month, across all providers?

Trend

Which team's AI spend grew fastest over the last 3 months, and on which models?

FAQ

Questions about this playbook

Which AI providers can Costory import?

OpenAI, Anthropic (API and claude.ai Enterprise), Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenRouter, Cursor, ElevenLabs, Kling AI and BytePlus.

How long does this playbook take to set up?

Connecting your billing data and the Costory MCP takes under 30 minutes with Terraform or CloudFormation. The playbook itself takes minutes: pick the scope, the trigger and the Slack channel. The first billing data lands the next day, and the agent starts from there.

Can we adjust what the agent does?

Yes. You choose the trigger, the scope (team, service, environment), the channel and the format, and you can pause or change it at any time.

Does Costory change anything in our cloud accounts?

No. Costory reads billing exports and the metrics you connect, and has no write access to your cloud. Actions it takes create Costory objects only: alerts, reports, dashboards and events. Your team stays in control of every change.

Step-by-step guide in the Costory docs

Put this playbook on call

Included in every plan, from €250/month. 30-day free trial: connect in under 30 minutes, get your first optimization recommendation the next day.

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Setup

About 30 minutes

Data residency

EU

Access

Read-only on your cloud