Is AI making you margin, or costing it?
Track AI ROI and cost per unit — customer, feature, request — against the value it creates.
- 5 min
- setup, per provider
- 90 days
- history, instantly
- Same-day
- anomaly alerts
- Read-only access
- 14-day free trial
- No credit card required
Spend vs Budget
Forecast $45,000 this month
How does StackSpend handle AI Unit Economics & ROI?
AI unit economics measures the cost of AI per unit of value — per customer, per feature, per request, per workflow — so teams can tell whether AI spend is profitable or wasteful. StackSpend attributes AI spend to those units across OpenAI, Anthropic, Claude, and more, surfacing cost-per-request, margin, and ROI as usage scales.
How does it work in practice?
- 01
StackSpend attributes AI spend to customers, features, requests, and workflows.
- 02
Cost-per-request, cost-per-customer, and margin views show where AI pays off and where it leaks.
- 03
Daily signals and forecasting track unit economics as usage scales.
What makes this work?
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 worksEvery model you run, in one lens.
Usage by base model, project and user, in tokens and in API-equivalent value. Estimated and billed usage stay separate, so the numbers never double-count and never pretend to be your invoice.
Business plan
How it worksSee this running against your own bill by tomorrow morning.
Read-only · 5 minutes per provider
Who uses this?
- 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 does StackSpend track?
- Cost per customer, feature, request, workflow
- AI gross margin and ROI signals
- Spend by provider and model
- Pace-to-forecast on AI COGS
- 90 days of history
When does this use case fire?
- A power user costs 10x the average and erodes plan margin
- A feature ships with unknown cost-per-customer
- AI cost scales faster than revenue
- The board asks for AI ROI and the number does not exist
Total AI spend says nothing about whether AI is creating value or eroding margin.
Provider dashboards report by key and model, never by customer, feature, or workflow.
Without unit economics, teams cannot tell profitable AI usage from waste.
How does StackSpend do this?
Provider usage dashboards and spreadsheets is built for different jobs. Here is what StackSpend adds.
Provider usage dashboards and spreadsheets
- Cost reported by key and model, not value units
- No cost-per-request or margin view
- No ROI signal
- Manual, one-off analysis
StackSpend
- AI spend attributed to customers, features, requests
- Cost-per-unit and margin in one view
- ROI tracked as usage scales
- Pace-to-forecast on AI COGS
Native tools show you last month. StackSpend tells you tomorrow.
AI Unit Economics & ROI starts from day one — no manual setup and no threshold tuning required.
Read-only access · Flat plans, never a % of your bill · No credit card required
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.
AI Unit Economics & ROI, answered
What are AI unit economics?
AI unit economics measure the cost of AI per unit of value — per customer, per feature, per request, or per workflow — so you can tell whether AI spend is profitable, productive, or wasteful, rather than just looking at a total.
How do I measure cost per AI request or per customer?
StackSpend attributes AI spend (by model and tokens) to your own units — customer, feature, request, workflow — so cost-per-request and cost-per-customer become live numbers instead of a manual analysis.
How is this different from AI COGS tracking?
AI COGS is the cost side; AI unit economics adds the value/ROI lens — whether that cost is creating margin. StackSpend covers both, tied together in one view.
Tomorrow morning: one number, in Slack.
Connect read-only today. AI Unit Economics & ROI starts from day one — no manual setup, no threshold tuning required.