AI Value Control Plane

AI Value Operating System

A control plane for measuring the economics of enterprise AI adoption.

Most organisations track AI usage. Very few can prove whether AI is creating economic value. The AI Value Operating System connects adoption, productivity, token spend, model choice, maturity, and business impact into one executive view.

From AI experimentation to AI accountability.

Interactive MVP

Enterprise AI value model

Use representative assumptions only. Calculations update automatically in the browser and do not leave this page.

Organisation profile Number of employees Average fully loaded annual cost per employee Percentage of workforce actively using AI Average AI sessions per active user per month

Productivity assumptions Average minutes saved per AI session Percentage of AI outputs accepted or reused Estimated automation potential percentage

AI cost assumptions Monthly AI platform spend Monthly token/API spend Percentage of tasks using frontier models Percentage of frontier model usage that could move to smaller models Estimated cost reduction from right-model routing

Maturity assumptions Current AI maturity level

Methodology

This tool estimates the economic value of AI adoption by combining workforce adoption, usage frequency, time saved, output reuse, AI platform cost, token spend, and model efficiency assumptions. It is designed as a strategic model, not a financial audit. The purpose is to help leaders move from AI activity measurement to AI value management.

Disclaimer: This public version uses user-entered assumptions only. It does not connect to internal systems, employee data, or AI platform analytics.

AI Value Operating System

Enterprise AI value model

Methodology

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