What does your AI cost? If you do not know, that is already the problem.

There is a question that makes many CFOs uncomfortable. How much did the company spend on artificial intelligence last month, and where exactly was that money consumed. In most organisations the honest answer is silence. Everyone knows there was spend, sometimes fast-growing spend, but it arrives as an aggregate invoice, with no name, no owner and no explanation. AI entered the operation through the innovation door and walked past the financial discipline the company applies to any other material expense.

This blind spot has a simple technical cause. Modern artificial intelligence charges by consumption, measured in tokens, the units the model processes with every question and every answer. It is a variable cost model that rises with usage, which is excellent to start with and treacherous to scale. While usage is experimental, cost is irrelevant and nobody looks. When usage becomes operation, cost grows in the same proportion, but visibility over it does not grow alongside. The company wakes up genuinely spending on something it still manages as a pilot.

The problem runs deeper than the surprise on the invoice. It is about management. A cost you cannot attribute is a cost you cannot govern. Without knowing which agent, which user and which department consumed what, it is impossible to answer the questions any manager would ask about any other expense line. Is this usage generating return or is it waste. Does this department consume ten times more than the other for a good reason or out of carelessness. Has this process become too expensive for the value it delivers. Without measurement by origin, none of those questions has an answer, and the cost of AI becomes a black box you can only see by its size, never by its composition.

The solution is not to cut usage, it is to see that usage clearly. Consumption control with token monitoring by agent, by user and by department turns the black box into a legible budget line. The mysterious aggregate spend ceases to exist, and attributed, comparable, predictable consumption takes its place. Finance stops reacting to the invoice and starts planning on top of it. What used to be an expense that only frightened becomes a variable managed like any other, with a target, a ceiling and an owner.

It is worth noting that this is not merely comfort for finance. It is a condition for scaling safely. A company only confidently expands the use of a technology whose cost it understands. When consumption is opaque, the prudent manager's natural reaction is to brake, limit and distrust, which suffocates precisely the uses that would generate the most value. When consumption is transparent, the company can expand where there is return and cut where there is waste, based on data rather than fear. Cost visibility is not bureaucracy. It is what allows you to say yes to the right usage without saying yes to every usage for lack of criteria.

There is a direct parallel with data governance, and it is no coincidence. Just as the company demands to know who accessed which data, it should demand to know who consumed which AI resource. They are two faces of the same principle. Intelligence the company cannot measure is intelligence the company does not control, whether on the data axis or the cost axis. Complete governance covers both. Whoever audits access and ignores consumption has seen half the problem.

For the CFO, the message is direct and uncomfortable in just the right measure. If the company cannot say how much it spends on AI by department, it is not yet managing AI. It is merely paying for it. And what is not measured is not decided, which is a particularly sharp irony for a technology sold as a decision tool.

Mars treated consumption control as part of governance from the start, at the same level as data masking and the audit trail. Token monitoring by agent, by user and by department, predictable and attributable cost. Your data, your orbit, and your budget under control as well. If your AI bill still arrives with no name and no owner, it is worth seeing what it looks like to account for every unit before the invoice decides for you.