trAIce research

The economics behind every AI decision

Practical field notes for measuring AI cost, connecting it to business value, and proving that an optimization actually saved money without hurting quality.

Latest

Research and guides

Fragmented AI usage signals passing through a reconciliation boundary into an orderly financial ledger
Cost provenance10 min read

Why Your LLM Cost Estimate Does Not Match the Provider Bill

Learn why LLM telemetry and provider bills diverge, then use a repeatable reconciliation method before allocating cost or claiming AI savings.

Read the guide
AI usage signals mapped through an evidence ledger to business dimensions and outcome metrics
AI unit economics11 min read

AI Cost Attribution: Measure Cost per Customer and Feature

A practical framework for mapping LLM spend to customers, features, workflows, and business outcomes so teams can improve AI unit economics.

Read the guide