AI Cost Governance
Turn an Unallocatable AI Invoice Into a Chargeback Model
Per-turn token counts priced by model, rolled up per developer, per team, and per repository, with budget thresholds that fire before the invoice does.
The Situation
AI Became a Line Item Before It Had an Owner
AI spend grew from an experiment to a recurring cost without ever acquiring the structure that other infrastructure has: no tags, no cost centers, no per-team allocation.
Finance asks a reasonable question - what are we paying for AI, and who is spending it - and engineering has to answer from provider dashboards that know nothing about teams.
What Goes Wrong Today
Provider Dashboards Are Not Cost Management
- Org-level totals. Provider invoices do not break down by team, repository, or developer.
- Multiple providers. Spend is split across several vendors with incompatible reporting.
- No leading indicator. The first signal that spend doubled is the invoice, 30 days late.
- No model attribution. Nobody can tell an expensive workflow from an unnecessarily expensive model choice.
What Kraitos AIDR Does
Cost From the Same Telemetry as Everything Else
- Per-turn input, output, cache read, and cache write token counts captured at the endpoint
- Model-aware pricing across model families - Opus, Sonnet, Haiku, GPT-4 class, and others
- Rollups per developer, per team, per model, and per repository with 30-day trends
- Budget and usage threshold policies that alert while spend is still accruing
- Chargeback-ready CSV exports for finance
- Adoption metrics alongside cost, so a spend increase can be read against usage
What You End Up With
A Defensible AI Budget
- What did each team spend on AI last month, and on which models?
- Which developers are near their token threshold this week?
- Did the increase come from more usage, or from a more expensive model?
- Can finance allocate AI cost the same way it allocates cloud cost?

See Kraitos AIDR in Action
Deploy in 60 seconds. Get answers in 24 hours. Stop guessing what your AI-augmented organization is doing.
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