AI Agent Cost Allocation & Chargeback Calculator
Allocate AI agent spend across teams, products, or tenants by usage, headcount, value, or equal split. Model chargeback, showback, and overhead recovery.
Scenario presets
Allocation inputs
Dimension weights are normalized automatically. Last updated: 2026-07-13. See notes.
Total monthly cost
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Cost per team / mo
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With overhead + margin
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Projected period cost
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Team / tenant allocation
| Team / tenant | Allocated / mo | Overhead / mo | Showback / mo | % of total |
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Cost dimension breakdown
Verdict
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Frequently asked questions
What is AI agent cost allocation?
Cost allocation splits a shared AI agent bill into portions assigned to each team, product, or tenant. It turns a single LLM, memory, tool, review, and hosting invoice into understandable unit economics.
What is the difference between chargeback and showback?
Showback reports allocated costs for transparency without billing another team. Chargeback actually moves budget from the consuming team to the central AI platform or shared-services cost center.
Which allocation method is best?
Usage-based is fairest when you can meter tokens, queries, tool calls, and review hours. Headcount-based works for shared overhead. Value-based fits enterprise chargeback where business impact matters more than raw consumption.
What costs should be included?
Include LLM API, vector memory, tool calls, human review, hosting/compute, and shared infrastructure such as auth, observability, security, and networking. Exclude one-time R&D or exploration projects unless policy says otherwise.
How do I handle overhead that no team directly consumes?
Apply a shared overhead percentage on top of allocated direct costs, or split it across teams by headcount or value weight. This calculator supports both approaches.
Cost allocation and chargeback estimates are directional. Replace default weights, usage splits, and overhead rates with your actual accounting or FinOps data.