Dashboard, for leaders
See what your AI spend actually produced.
Every AI dollar next to the work it bought, team by team.
- Engineering $36,150 451 copilot work items shipped
- Sales $20,671 381 account plans reviewed
- Product $17,109 252 product artifacts linked
- Support $14,266 46 product briefs from repeat tickets ◆ Workflow worth spreading
- Finance $9,731 131 reporting artifacts reviewed
- People ops $7,736 91 onboarding plans
- Legal $7,017 82 contract review briefs
Synthetic example company. Spend is attributed by team; work is what the connected systems can link to it.
Every AI dollar, one view.
Seats, APIs, infrastructure, and the subscriptions people expense on their own.
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AnthropicClaude seats, Max, API $62,400
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MicrosoftCopilot seats, Azure OpenAI $56,100 -
OpenAIChatGPT seats, API $37,920 - Open modelsMistral, DeepSeek, routed $18,000
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GoogleGemini seats, Vertex $12,000
Synthetic example · seats, APIs, infrastructure, and expensed subscriptions
See who's actually using it.
Adoption by team, so licenses and training go where they matter.
AI performance
How is AI performing across the company?
Adoption by team
Know what's still unknown.
Every number shows its evidence. Gaps stay visible instead of turning into zeros.
See it in the demo →82%of work has evidence behind it
- Exact match1,290
- Clear link2,324
- Likely421
- Unknown346
Synthetic example · unknowns stay unknown, never counted as zero