“What does this AI actually cost — and what did it return?”
AI is billed by usage, which fixed annual budgets cannot see. AI Token Economics measures usage by model, project and team, prices it at the rate you actually pay and adds it to the same total as every other dollar. Each agent’s cost sits beside its limits and the results it has proven — so expanding AI becomes a decision you can defend to the CFO, not a surprise on the next invoice.
Rooms you open
Methods supported
Part of Fund & Optimize · How do we plan, allocate and optimize resources?
The pressure
Copilots, AI services and internal agents show up on different invoices. Nobody owns the cost per use. Answers from an AI model can cost several times more than the questions sent to it, and the bill arrives after the work is done. When the CFO asks what an agent delivered, the answer is a story, not a number.
What it looks like today
What changes
A separate AI invoice
AI spend measured as part of the enterprise total
Cost per request
Cost per agent, project, team and result
Budgets reviewed after the overspend
Spending limits checked against actual use as it happens
The real cost of AI
AI answers can be a sixth of the usage and more than half of the bill. See usage and cost side by side by model and team, and see which systems each agent can reach — so how much freedom an agent has shows up as real access and real risk, not a label on a slide.
Where other tools stop
AI monitoring tools show cost and speed per request. They cannot put that cost in the enterprise total, against a budget, beside the result the agent was launched to deliver.
The rooms
Each room answers one question a leader actually asks, with the view that answers it and the measures that say whether it is working.
A room is a ready-made view that answers one leadership question, built on the same shared data as every other room.
Room 01
“What do our AI agents, models and tools actually cost?”
Measured usage by model, vendor and team, priced at the rate in force, as part of the one total.
How you know it is working
Room 02
“Are the agents working well, and what is at risk when one is not?”
What each agent ran, its results and confidence against its standard, problems and their potential cost, and the systems each agent can reach.
How you know it is working
Room 03
“Which agents are worth their cost, and which should be expanded, fixed or stopped?”
Each agent’s budget and limits against actual cost, its results against target, and the issues that need attention.
How you know it is working
Who it is for
“Which agents should we expand, fix or stop?
“What is AI costing us, and where is the return?
“Which models and teams are driving the bill?
“What is our exposure if an agent goes beyond its limits?
What it replaces
How it is licensed
AI Token Economics is licensed within Fund & Optimize, with Cost Allocation included underneath.
Start in IT, one function or a division. Cost Allocation is included automatically with every module.
See pricingMethods and frameworks
Dotwork does not ask you to adopt a new method. The frameworks your teams run become views over the same model.
Tokenomics
What AI actually costs per task, per team and per outcome.
FinOps
The practice of making teams accountable for what they spend on cloud.
FOCUS
The industry-standard format for cloud and software billing data.
More in Fund & Optimize
“Where does the money actually go — and can I trust the number?”
Explore“Can we still move money before the period closes?”
Explore“What is the cloud bill actually paying for?”
Explore“Do we have the people for what we just funded?”
Explore“What did we buy, what have we used, and who owns the renewal?”
ExploreThe model underneath
Steer, Fund & Optimize and Govern & Deliver all read and write the same Enterprise Operating Model. The first module you license builds the model. Every module after it adds context instead of another silo — and Dotwork AI reads all of it, stopping where the decision is yours.
See the Enterprise Operating Model© 2025-2026 Dotwork, Inc. All rights reserved.