The bill is escalating and nobody can say why.
AI FinOps makes inference spend predictable. Pexon adds semantic caching so repeat questions cost almost nothing, routes queries to the cheapest model that answers them correctly, and reports usage per department so the bill stops being one unattributable line in the cloud invoice.
Cost is an architecture problem.
Most escalating AI bills are not a pricing problem but a design one: no caching, every query hitting the largest available model, and no attribution back to the team that generated it.
Common questions
Will cheaper routing make the answers worse?
Only if it is done blindly. Routing decisions are validated against the same eval set used for release, so a query only moves to a smaller model when it demonstrably still answers correctly.
How quickly does this pay for itself?
That depends entirely on your starting position, and we measure it against your own baseline in the first two weeks rather than quoting a reduction range up front.
Not a sales call. An architecture call.
Thirty minutes with the architect who would actually run the engagement.