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AI Cost Attribution

Know exactly where your AI budget is going

Copilot licences, Claude API spend, autonomous agents — AI costs are growing faster than anyone budgeted for. Flowstate attributes every pound and dollar to the project and team that consumed it, so you can see what's delivering value and what's just burning budget.

AI spend is growing — but nobody knows where it's going

Finance sees a growing "AI tools" line item with no way to attribute it to teams or projects. Engineering leaders can't answer basic questions: Which teams are driving the Copilot bill? Is our Claude API spend producing anything? Should we invest more in agents or more in people?

Without attribution, AI spend is a black box — and black boxes get cut first when budgets tighten.

AI investment overview

See total AI spend by provider, attributed to the projects consuming it.

Total AI Spend
$186K
last 90 days
Attributed to Projects
94%
$175K of $186K
Avg. AI Cost / Engineer
$1,310
up 23% QoQ
Project Spend
Payments Platform P1
3 agents $42,800
Customer Portal P2
5 agents $38,200
Data Platform P2
2 agents $31,500

Full visibility into AI spend

Provider-level breakdown

See spend by provider — GitHub Copilot, Anthropic, OpenAI, custom agents. Know exactly where each dollar goes.

Project attribution

AI spend is attributed to projects based on team effort allocation. Drill into any project to see per-agent cost, token usage, and trends.

Trend analysis

Track AI spend over time with date range selectors. Spot runaway costs before they become quarterly surprises.

Token-level detail

See input and output token usage per agent, per project. Understand not just what you're spending, but why.

Stop flying blind on AI spend

Book a demo and see exactly where your AI budget is going — and whether it's worth it.