Govern AI spend without slowing teams down.
Each provider gets an owner, a budget and a threshold, enforced where the work already happens.
- 5 min
- setup, per provider
- 90 days
- history, instantly
- Same-day
- anomaly alerts
- Read-only access
- 14-day free trial
- No credit card required
Cost Health
▲ 6 this month82
Good
Cost Health over time
Last 30 days: 64 → 82
What is StackSpend for AI Cost Governance?
AI cost governance is the set of controls that keep AI and cloud spend accountable: attributing cost to the team, feature, or customer that caused it; setting budgets and policy thresholds; alerting the owner when spend breaks pattern; and keeping an audit trail of what changed and who acted. StackSpend operationalizes all four across OpenAI, Anthropic, Claude, Cursor, and cloud providers — cost is attributed at ingest, budgets and anomaly alerts route to the owner via Slack, email, or webhook, and every action is logged — so governance runs continuously instead of in a month-end review.
Why is this spend hard to control?
01
AI spend has no owner. Cost is pooled in one API bill, so no team, feature, or budget is accountable for what it drives.
02
Governance is retrospective. Policies live in a spreadsheet and get checked after the invoice, when the overrun is already real.
03
There is no audit trail. When spend moves, no one can say what changed, who acted, or whether a budget was breached.
What does StackSpend show?
Every dollar has an owner.
Auto-tagging rules label costs as they are ingested, matching provider, account, service and project patterns in priority order. By the time someone asks who owns the spend, the answer is already on the data — filterable and groupable in the explorer.
Team plan and above
How it worksSet it once, at any scope.
Set budgets at any scope — org-wide, per provider, account, project or tag — and StackSpend watches them daily with alerts at 50, 80 and 100%. If you don't know where to start, auto-budgets seed the numbers from your own history.
Team plan and above
How it worksSee this running against your own bill by tomorrow morning.
Read-only · 5 minutes per provider
Who is this for?
- Product and engineering teams that need model-level visibility before AI bills surprise them.
- Buyers consolidating OpenAI, Anthropic, Claude, Cursor, or open-model spend into one operating view.
- Teams that need alerts and forecasting, not just retrospective usage dashboards.
What's included?
- Attribution by default: StackSpend reads your existing cloud and provider tags and auto-tags spend at ingest, so cost is allocated to team, service, feature, or customer without a manual tagging project.
- Budgets and policy thresholds per provider, team, and workload, with pace-to-forecast so a breach is flagged before month-end, not after.
- Anomaly detection routes the alert to the owner via Slack, email, or webhook — and the Cost Intelligence Agent explains the variance in plain English and can create a budget or acknowledge the anomaly with your confirmation.
- A full, exportable audit log records every anomaly action, budget change, and access event — the paper trail governance and finance need.
What we track
- Cost attribution by team, service, feature, and customer (tag-based, auto-tagged at ingest)
- Budgets and policy thresholds with pace-to-forecast
- Anomaly detection with owner routing (Slack / email / webhook)
- Full audit log of actions, budget changes, and access events
- OpenAI, Anthropic, Claude, Cursor, Hugging Face, Grok (xAI) + AWS, GCP, Azure
What are the most common cost triggers?
- A team adopts a new AI tool with no budget or owner assigned to its spend
- A prompt or model change drives an overrun that no policy threshold caught
- Finance asks who approved a spend increase and there is no audit trail
- Shadow AI usage accumulates across teams with no attribution or guardrail
Why teams outgrow the native billing consoles
Native tools are built for investigation. StackSpend is built for prevention.
Provider billing dashboards + spreadsheet policies
- No cost attribution to the team, feature, or customer that caused it
- Budgets and policies live in spreadsheets, checked after the invoice
- No owner routing when spend breaks pattern
- No audit trail of budget changes or anomaly actions
StackSpend
- Cost attributed at ingest to team, service, feature, and customer
- Budgets and policy thresholds with pace-to-forecast, flagged before month-end
- Anomaly alerts routed to the owner via Slack, email, or webhook
- Full, exportable audit log of every action, budget change, and access event
Native tools show you last month. StackSpend tells you tomorrow.
Connect read-only in about five minutes. 90 days of history loads automatically, and the first daily signal arrives tomorrow morning.
Read-only access · Flat plans, never a % of your bill · No credit card required
What do you get when you connect?
- Setup time
- Fast self-serve setup with no sales cycle required.
- 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.
AI Cost Governance, answered
What is AI cost governance?
AI cost governance is the set of controls that keep AI and cloud spend accountable: attributing cost to the team, feature, or customer that caused it, setting budgets and policy thresholds, alerting the owner when spend breaks pattern, and keeping an audit trail of what changed and who acted. It turns cost from a number you review after the invoice into a line item with an owner, a limit, and a paper trail.
How is AI cost governance different from AI cost management?
Cost management is the operational platform — the visibility, budgets, and forecasting that let you run AI spend day to day. Cost governance is the control layer on top: who owns each cost, which policies and thresholds apply, how a breach is routed and resolved, and the audit trail of every action. StackSpend provides both — the managed view for operations and the attribution, policy, routing, and audit log for governance.
How does StackSpend attribute AI cost to a team, feature, or customer?
StackSpend reads the tags already on your cloud and provider spend and auto-tags cost at ingest, then rolls it up by team, service, feature, or customer — so allocation happens automatically rather than through a manual tagging project. It attributes existing spend; it does not enforce tags at provision time.
Can StackSpend alert the right owner when a budget or policy is breached?
Yes. Set budgets and policy thresholds per provider, team, and workload; anomaly detection and pace-to-forecast flag a breach before month-end and route the alert to the owner via Slack, email, or webhook. The Cost Intelligence Agent explains the variance in plain English and can create a budget or acknowledge the anomaly with your confirmation.
Does StackSpend keep an audit trail of cost actions?
Yes. StackSpend records a full, exportable audit log of every anomaly action, budget change, and access event, so finance and governance can see what changed, who acted, and when — the paper trail native billing dashboards do not provide.
Tomorrow morning: one number, in Slack.
Connect read-only today. 90 days of history loads automatically, and the first daily signal arrives with breakfast — green means nobody has to think about cost at all.