Product
The financial and governance system of record for AI usage
AI SpendOps is a proxy layer, governance enforcement engine, and finance-grade reporting platform, all in one. Track every token across every provider, from prompt and completion tokens to cached and reasoning tokens.
Spend Attribution
- Token-level cost attribution by team, feature, and environment
- Multi-provider token tracking across 16+ providers
- Prompt, completion, cached, and reasoning token breakdowns
Spend by Team
Illustrative dataDimension Enforcement
- Required tagging at request time
- Prevent untagged AI usage reaching providers
- Eliminate shadow spend entirely
Policy Violations
Illustrative dataProvider & Model Control
- Allow/deny providers per API key
- Model-level enforcement with wildcard patterns
- Environment-specific restrictions
Provider Mix
Illustrative dataBudget tracking and forecasting
Approaching · 85%Spend this period
$18,700 / $22,000
Warns at 80% ($17,600)Critical at 100% ($22,000)
At ~$780/day, on pace to hit $22,000 around 28 Dec. Projected period total ~$24,200 (110%).
ActualProjectedBudget
Budgets & Alerts
- Set budgets per team or cost centre
- Alert on configurable burn thresholds
- Forecast overrun risk before month-end
Cost Allocation & Chargeback
- Apportion AI spend across departments and cost centres automatically
- Chargeback figures that slot straight into month-end reporting
- Breakdowns by team, product, environment, or any custom dimension
Chargeback by Cost Centre
Illustrative data| Department | Cost Centre | Tokens | Cost |
|---|---|---|---|
| Engineering | CC-1001 | 2.84M | £8,400 |
| Data Science | CC-1002 | 1.96M | £6,200 |
| Product | CC-1003 | 1.42M | £3,100 |
| Support | CC-1004 | 3.10M | £2,800 |
| Marketing | CC-1005 | 0.68M | £1,900 |
Context Growth Detection
- Average tokens per call, tracked by team, feature, and dimension
- Spot context windows creeping up long before the invoice does
- A small per-call increase across a large call volume explodes AI costs
Avg Tokens per Call
Illustrative datasupport-botsearchrecommendations
support-bot: +1,250 avg tokens × 1.2M calls/mo ≈ 1.5B extra input tokens
Ready to make AI spend auditable?
Start tracking AI spend in minutes. Sign up and get started today.
Sign Up