Product / Insights

See where AI capital is going and what it is doing.

Move from fragmented invoices to a normalized view of spend, ownership, budget performance, utilization, and business output.

Attribution

Start at the invoice. Finish at the individual.

Providers bill by account. Arbitir reads the same month down to departments, teams, roles, people, keys and surfaces.

Without Arbitir4 invoices
Anthropic, API
$184,300
Claude Enterprise, 210 seats
$96,000
OpenAI, API
$121,400
ChatGPT Enterprise, 169 seats
$84,500
Total
$486,200
Attributed to an owner0%
Which department drove the increase?
not reported
Which roles concentrate the spend?
not reported
What output sits against any of it?
not reported
With Arbitirthe same $486,200
  • Engineering$142,300
  • Sales$96,240
  • Unattributed, 4 shared keys$75,800
  • Marketing$71,640
  • Customer success$58,210
  • Support$42,010
  1. Company$486,200
  2. Sales$96,240
  3. Enterprise AE$34,600
  4. D. Kessler$3,180
  5. Claude Code$1,940

Analysis

Move from unfettered consumption to systematic control.

The same ledger should answer who consumed the capital, which budget it came from, how fast it is changing, how much is unattributed, and what operating output sits alongside it.

  1. 01

    Spend by owner

    Drill from company to department, team, role, person, project, provider, and model.

  2. 02

    Budget performance

    Track actuals, burn rate, and unused capacity against budget.

  3. 03

    Unit economics

    Put AI cost next to meetings, pipeline, revenue, retention, delivery, or customer-defined output.

  4. 04

    Attribution quality

    Make unattributed or lower-confidence spend visible rather than inventing precision.

Capital ledger

A portfolio-wide view informs trade-off decisions.

Every team on one page, with what it spent, how much of its budget that is, and the outcome it is accountable for beside it.

TeamSpendOf budgetBusiness outcome
Sales$96,24082%$11.4m pipeline
Customer success$58,21063%$1.6m expansion
Marketing$71,64076%$4.8m sourced pipeline
Engineering$342,30081%286 merged pull requests
Illustrative figures for one month.

Start allocating AI spend toward what works.

We grant access to a select number of companies each month, based on fit. Describe how AI spend is governed today and we will respond within two business days.

Request access