AI Spend Intelligence

What did your AI spend buy?
Spend attributed to use cases and the KPIs they answer to.

PulseAI reads AI spend from AWS (Amazon Bedrock and Claude Platform), OpenAI, Anthropic, Microsoft Azure, Google Cloud, and GitHub, plus your SaaS subscriptions and per-seat licenses. It attributes each cost to the tool that incurred it, the use case that tool serves, and the KPIs that use case answers to.

Request a demo See how attribution works

Why it exists

Knowing what AI costs is not the same as knowing what it bought.

AI spend arrives on several bills at once: a cloud provider, a model provider's API, a Copilot invoice, a handful of per-seat licenses. Each bill says how much. None says which initiative the money went to, who owns it, or whether it is working. A CFO asked to defend the AI budget needs the second answer, not the first.

PulseAI starts from the providers' own billing data and ends at the use case. Each cost is attributed to a governed tool in your AI inventory once that tool's mapping names it, each tool to the use case it serves, and each use case to the KPIs its owner committed to. What is still unattributed is listed, not rounded away.

Where the spend comes from

Six providers, plus subscriptions and licenses.

Each connection reads billing and usage data, never prompts or responses. Flat-fee SaaS subscriptions and per-seat licenses are entered alongside, and count toward the same total.

How attribution works

From a line on a bill to a use case with an owner.

01 · Connect

Each provider connects read-only, under your control: a cross-account role for AWS, scoped credentials for the rest. Spend is ingested once a day.

02 · Map

A tool in your AI Tool Registry names the spend that belongs to it, by account and by model. An administrator or a manager can write the mapping.

03 · Attribute

Spend follows the tool to its primary use case, and from there to the use case's department and the KPIs it answers to. Licenses reach a use case once assigned to a tool.

04 · Resolve

Unmatched usage is listed by account, model, and amount, with a way to map it. Change a mapping and recorded spend is re-attributed without waiting for the next sync.

A tool with no primary use case attributes to a shared AI platform line, shown as organization-wide. A department is inherited from the use case, so spend reaches a department only once its use case names one.

Cost and outcomes

"Was it worth it?" next to "what did it cost?"

Cost beside status

Each use case, its cost, and its KPI status

Every use case with attributed spend shows its cost for the period next to the status of its KPIs: on track, at risk, behind, pending, or no target. A use case nobody has set a target for says so.

Four ways to read it

By outcome, tool, model, or department

Group the same spend by the use case it serves, the tool that incurred it, the model behind it, or the department that owns it, with a trend across the period.

GitHub Copilot

What Copilot costs, beside how it is used

Copilot AI credits and seat fees sit next to an adoption card: daily active users, suggestion acceptance rate, lines of code added, and the share of merged pull requests Copilot contributed to.

Budget and forecast

A budget, and where the period is heading

Set an AI budget in your organization's currency and see spend against it, with a run-rate forecast for the period in progress. A generated Spend Insights summary explains the period.

The same spend is available to Claude, ChatGPT, or Copilot through the PulseAI MCP server. See AI Assistant access.

What the numbers are

A figure you can take to the board, with its method on the record.

Metered and licensed, one picture

Flat-fee subscriptions and per-seat licenses count toward the same total as metered usage. The attributed share is stated as a percentage of both, and the unattributed amount is shown in currency.

Last quarter stays put

Subscriptions are effective-dated: a new price or seat count applies from its month forward. Spend already attributed to a tool stays with it when mappings change, so a closed period's split does not shift; only spend that was still unattributed moves.

No cross-currency arithmetic

Amounts in different currencies are never added together. Each total is kept in its own billed currency.

The method is stated

AWS figures are Cost Explorer's Unblended cost, so reconcile them against that view rather than the invoice. Google Cloud figures are gross, before credits. The in-app connection guide says the same.

Questions

What finance and governance teams ask first.

What is AI spend attribution?
AI spend attribution assigns each AI cost to the tool that incurred it and, through that tool, to the use case it serves. PulseAI then places each use case's cost next to the status of the KPIs it answers to, so the question changes from "what did we spend?" to "what did the spend buy?"
Which AI providers does PulseAI read spend from?
Six: AWS (Amazon Bedrock, including Anthropic models billed through AWS Marketplace, and Claude Platform charges on your AWS bill), OpenAI Platform, Anthropic API, Microsoft Azure (including Azure OpenAI), Google Cloud (Vertex AI and Gemini), and GitHub (Copilot and GitHub Models, for organizations on GitHub's enhanced billing platform). Flat-fee SaaS subscriptions and per-seat licenses are tracked alongside them.
Can PulseAI attribute Amazon Bedrock spend to a use case?
Yes. Map a tool in the AI Tool Registry to the AWS account and the Bedrock model it uses, and that spend follows the tool to its primary use case. Anthropic models billed through AWS Marketplace and Claude Platform charges on the AWS bill are included.
How does PulseAI decide which tool a cost belongs to?
By account and by model. A tool lists the accounts and models whose spend belongs to it, and the most specific matching entry wins. PulseAI does not attribute by cost allocation tag or by region.
Does PulseAI show GitHub Copilot cost against adoption?
Yes. A GitHub connection brings Copilot AI credits, seat fees, and GitHub Models usage into daily spend attribution, and an adoption card beside them shows daily active users, suggestion acceptance rate, lines of code added, and the share of merged pull requests Copilot contributed to. If you connect more than one GitHub organization, metrics GitHub cannot deduplicate across them are hidden rather than inflated.
Does PulseAI calculate AI ROI?
PulseAI gives each use case the two halves of that conversation: what it cost, and whether the KPIs its owner committed to are on track, at risk, or behind. A use case with no target says "no target" instead of implying a return nobody has measured.
Is AI spend shown in real time?
No. Spend is ingested once a day from each provider's billing data. An administrator can also run a sync on demand for a single connection.
How is this different from an LLM observability or cloud FinOps tool?
Observability tools measure requests and tokens inside your application. Cloud FinOps tools allocate the whole cloud bill. PulseAI reads AI spend from the providers' own billing data and attributes it to governed tools, use cases, owners, and KPIs, for finance and governance teams rather than engineers.
What access does PulseAI need to our billing data?
Connections are read-only and customer-controlled: a cross-account role for AWS, scoped API credentials for the rest. For GitHub, PulseAI requires a fine-grained token with no private-repository access and refuses classic tokens. Nothing is installed on employee machines, and for GitHub only organization-level aggregates are stored, never per-developer data.

Available now

Live in Canada and the United States.

AI Spend Intelligence is available to design partners today. Bring one billing connection and a use case you need to defend, and we will walk through the attribution with your own numbers.

Request a demo Read the GitHub Copilot release notes

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