Measure AI like a finance team.
Definitions, formulas, and working comparisons for the discipline of AI Value Management — measuring the ROI and unit economics of AI initiatives, from spend to P&L.
What is AI Value Management?
The canonical definition: attribute every AI dollar, map it to a business metric, measure unit economics, reconcile to the P&L, decide.
AI unit economics: the four formulas that matter
Cost per MAU, cost per interaction, contribution margin, and AI gross margin: formulas, benchmarks, and a worked example for finance teams.
What is AI COGS?
The direct, recurring costs of serving an AI product — inference, attributable infrastructure, and per-request services — defined for finance teams.
How to measure the ROI of AI initiatives
The AI Value Ledger: five steps from fully loaded cost to a value denominator, continuous measurement, and a P&L the board can trust.
FinOps vs AI Value Management
FinOps keeps cloud and AI spending efficient. AI Value Management measures what it returns. How the two disciplines divide the work.
COGScontrol vs CloudZero
A fair head-to-head: CloudZero's cloud cost intelligence versus COGScontrol's AI Value Management — and when it makes sense to run both.
The four kinds of AI ROI measurement tools
Four tool categories claim to measure AI ROI. Each answers a different question. A fair map of which one you actually need.
AI Unit Economics Calculator
Start from actual monthly AI spend — not token list prices — and compute cost per MAU, cost per interaction, and AI gross margin.
Ready to measure the value of your AI investment?
COGScontrol attributes every AI dollar, measures it against your business metrics, and reconciles it to the P&L.