
An agent decides how much work to do. Your cost controls assume a person decided.
Spend builds by the hour and gets reconciled by the month. Set the cap before the bill arrives.
Five hundred AI use cases describes activity. A value figure describes economics.
The board isn’t asking what AI costs. It’s asking where the money comes from.
Mainframe, circuits and the data center. The half of the estate that never moved.
Laptops, phones, virtual desktops and print. The estate no cost tool carries.
Salaries, contractors and services. The largest line in technology cost, and the least captured.
What technology costs, pre-built on TBM. Towers, the Bill of IT, showback and chargeback. See more >
Model any cost, on your framework or ours, and defend every number. Allocation beyond IT, where no ITFM competitor follows. See more >
Cloud cost management, FOCUS-native, allocated daily, in the same model as everything else. See more >
Budgets, forecasts and what-if across financials, capital, contracts and workforce. Human and digital labor planned together. See more >
The labor cost nobody else captures, from plan to timesheet to allocated cost. The largest spend category, ignored by every cloud tool. See more >
Token, model, GPU and agent cost, and the return on AI investment. AI as a first-class spend category rather than bolted on. See more >
Your customers already audit every number. So does the model. See more >
Technology cost per service delivered. 240+ services costed at eHealth Queensland. See more >
Technology cost in the unit the operation already reports. See more >
What technology costs each store, and what it returns. See more >
Technology cost per subscriber, traced to the platforms behind it. See more >