Capability - AI Economics

Control AI spend before the invoice arrives.

See every token, model, GPU and agent cost, and what each one returned. AI as a core spend category, not bolted on.

Tokens are just a consumption measure. What matters is what AI costs your business, and what it gives back.

Follow AI cost from the token to the business unit that used it.

AI cost included as standard

Token, model API, agent and GPU costs load in as standard for every customer. No add-on, no custom build.

Classification in the pipeline

Every AI cost is tagged by model, vendor and use case as it lands, so you know who is spending in days, not quarters.

Four bills, one model

One AI workload bills you four times: the cloud provider, model API, vector database and orchestration layer. See all four together alongside your data platform and people.

Token and model cost

Track input, output and cached tokens, by model tier, vendor and use case. See how usage shifts between models over time, and what that shift did to your blended cost per million tokens.

Agent and GPU cost

Give every agent an owner, a purpose and an outcome. See which GPU capacity is reserved, idle or shared

AI unit economics

Know the full cost of each inference, each successful outcome and each AI-assisted transaction, including platform, data and labor.

Shadow AI discovery

Find the AI spend that comes in through business units, software and expense claims, as soon as it hits the ledger.

Token budget scenarios

Model a change of AI model or a jump in volume as a what-if in Budgeting and Forecasting, with no rebuild.

Speed of spend, not only totals

Tokens per minute, calls per workflow, retry rate and incomplete runs trigger as anomaly signals, because the same prompt does not cost the same twice.

AI in the Bill of IT

Recharge AI usage, licenses and infrastructure to the business units that used them. Start with showback, move to chargeback when ready.

AI ROI

Set the cost of each outcome against its value, program by program.