Stack Spend
Cloud & AI Cost Allocation

Cloud & AI Cost Allocation

Split cloud and AI spend across the teams, products, and environments that created it, so every number has an owner instead of landing in one engineering line item.

  • Read-only access
  • 14-day free trial
  • No credit card required
5 min
setup, per provider
90 days
available history
Same-day
anomaly alerts
Connected providers · daily spendIllustrative product view
Every provider in one view. The product’s daily spend-by-provider chart: see the composition of your bill across your connected providers, with the daily-budget line — so a spike shows up the day it happens, and you can see which provider caused it.

See the workflow in practice.

Read-only, agentless setup

Read-only access, with nothing to install.

Billing integrations read cost and usage data without changing your provider resources. Permissions vary by provider; follow its setup guide. Claude usage uses opt-in OpenTelemetry, and custom sources use cost imports or scoped ingestion rather than a billing API.

How it works
Anomaly detection

Catch the spike the day it starts.

StackSpend learns what normal looks like per provider, account and service, then flags the day something breaks pattern, with a severity and an owner. Each one carries a lifecycle, so it gets closed.

How it works
Multi-account consolidation

Every provider, every account, one number.

How it works
Daily signal in Slack

One message each morning. Nobody opens a billing portal.

Team plan and above

How it works

Product examples are illustrative. Usage estimates and provider-reported costs are separate measures; availability varies by connected source.

Explore the data view

Why is this spend hard to control?

  • Engineering is one line item. The board asks which product is expensive and nobody can separate the platform team's spend from the AI feature's spend without a manual export and an afternoon of pivoting.
  • Cost lands on whoever watches the dashboard. When no team owns its own number, the person who notices the overrun is never the person who caused it, so the feedback loop that would change behaviour never closes.
  • Every allocation exercise starts with a cleanup, because tags were applied inconsistently or after the fact.
  • A shared AI API key used by four teams produces one invoice with no team dimension at all, so the account-per-team trick that works for cloud does not work here.

Know what you are connecting.

The workflow

  1. 01

    Tag rules apply at ingest: match on provider, account, project, or service and the tag lands on every matching line item automatically, with manual and API-applied tags for exceptions. Attribution stops being a monthly cleanup.

  2. 02

    Budgets scope to a tag, provider, account, or project on daily through annual periods with alerts at 50, 80, and 100 percent. That is how a per-team budget works — each team gets its own ceiling and its own alerts.

  3. 03

    Every line item also carries a P&L category (Cloud, AI, SaaS), so the same data answers the engineering question (which team?) and the finance question (which bucket?) without a second model.

  4. 04

    Unallocated spend is its own reported bucket, so allocation coverage is a number you can improve rather than a silent gap.

The source

Billing and usage from your connected providers. Credential types and permission controls vary by provider.

Provider connection guides

The limits

Provider reporting and scheduled sync determine freshness. Available history and attribution vary by source; review the setup guide for coverage. Alerts notify your team; they do not block requests or enforce a spending cap.

What we track

  • Spend by tag, team, product, project, and environment
  • Tag rules applied automatically at ingest
  • Tag-scoped budgets with 50/80/100 percent alerts
  • P&L categories mapped per line item
  • Unallocated spend as an explicit bucket
  • 90 days of history, backfilled on connect

Who is this for?

  • Teams that want daily visibility into spend without manually checking billing portals.
  • Buyers replacing spreadsheets and fragmented native dashboards with one monitoring workflow.
  • Operators who need read-only setup, alerts, and forecasting before overrun becomes month-end reality.

Evaluation checklist

  1. 01

    Start a trial

    Open a StackSpend workspace with no credit card required.

  2. 02

    Connect with read-only access

    Use the setup guide to connect the provider or workflow with the minimum permissions needed.

  3. 03

    Review the first 90 days

    Check history, alerts, anomalies, and forecast so you can decide whether the workflow is worth adopting.

How does StackSpend support this workflow?

Native tools provide provider-specific reporting and controls. StackSpend adds a shared monitoring workflow across connected sources.

Provider cost allocation tags and per-account separation

  • Allocation stops at the provider boundary — AWS tags say nothing about OpenAI or Cursor spend
  • Cost allocation tags apply from activation forward, so historical spend stays unattributed
  • A shared AI API key produces one invoice with no team dimension
  • Untagged spend is absorbed into totals rather than reported as a coverage gap

StackSpend

  • One allocation model across every cloud and AI provider
  • Rules apply to the 90 days backfilled on connect, not just going forward
  • Budgets scope to a tag, so per-team ceilings take minutes
  • Unallocated spend is an explicit number you can drive down

What do you get when you connect?

Setup time
Most teams can connect and validate setup in about 5-10 minutes.
Access model
Read-only credentials only. StackSpend does not modify provider resources or billing settings.
Signals
Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
History and forecast
Historical spend context plus pace-to-forecast so overruns are visible before month-end.

Check the details before connecting.

Review connection permissions

Read the provider setup guides before sharing credentials.

Provider setup guides

See the security details

How credentials, tenant isolation and data handling work.

Security and data handling

Know the price

Compare plans, included providers and the trial terms.

Plans and pricing

Talk to the team

Ask about your stack or requirements before connecting.

Contact StackSpendAbout Andrew Day

Cloud & AI Cost Allocation, answered

When is this workflow useful?
  • A shared OpenAI or Anthropic key is used by four teams, so the invoice has no team dimension
  • A platform team's shared cluster carries spend created by the product teams running on it
  • A new environment is provisioned without tags and its spend sits unallocated for a quarter
  • One product line quietly becomes unprofitable because its inference cost was never separated
How does StackSpend handle Cloud & AI Cost Allocation?

Cost allocation attributes every line of cloud and AI spend to the team, product, environment, or customer that caused it, so cost has a named owner rather than sitting in one undifferentiated engineering total. StackSpend allocates spend using tags applied automatically by rule at ingest — across AWS, GCP, Azure, OpenAI, Anthropic and every other connected provider — then budgets and reports against those tags, so each team sees its own number and finance sees the split. Spend matching no rule is reported as unallocated rather than quietly spread, because a number nobody owns is the one you need to fix.

How do I allocate cloud costs to teams?

Attach the dimension you want to own cost by — usually team, product, or environment — to spend as a tag, rather than reconstructing it later. In StackSpend you write a tag rule once, matching on provider, account, project, or service, and every matching line item is tagged automatically at ingest, including the 90 days backfilled on connect. Reports, budgets, and alerts then work on that tag, so each team sees its own number, and spend matching no rule is reported as unallocated rather than absorbed into the total.

How do you allocate a shared AI API key across teams?

A single OpenAI or Anthropic key used by several teams produces one invoice with no team dimension, so the cloud approach of one account per team does not apply. Either issue a key per team or project, which makes attribution structural, or allocate the shared total by a proxy such as project or model usage. StackSpend supports the first directly — each key connects as its own source and carries its own tag — and the second through tag rules plus manual or API-applied tags.

What happens to spend that is not tagged?

It is reported as unallocated: a visible bucket of its own, not spread across teams and not absorbed into the total. That number is the honest measure of how well attribution is working — if it rises, the tagging policy is leaking, and it is visible that week rather than at an audit.

For the current provider catalogue, see supported integrations.

Tomorrow morning: one number, in Slack.

Connect your providers today and follow spend, budgets and alerts in one place. Review provider permissions before connecting.

Read-only access · No agent to install · 14-day free trial · No credit card required
Cloud & AI Cost Allocation by Team — StackSpend