Our AI bill is growing faster than its results
Find every source of AI spend, tie it to an owner and an outcome, and put the controls in place to keep it predictable.
In brief
AI Cost Control is a Kalosys service that finds every source of AI spend, including licenses, API usage, cloud GPU and AI features in software you already own. It ties each cost to an owner and an outcome, then puts policies, model routing and budget controls in place so AI spend stays predictable. It starts with a fixed-fee assessment.
THE PROBLEM
AI spend now arrives through many routes at once: seat licenses, API tokens, cloud GPU, and AI features bundled into existing SaaS. Nobody owns it end to end, so costs grow faster than measurable results and leadership can't tell which spend is producing value.
79%
of large enterprises had AI cost overruns in the past 12 months
DoiT / Sapio Research, Feb 2026
42%
have only partial visibility into their AI spending
KPMG Global AI Pulse, Q2 2026
HOW IT WORKS
Most organizations now pay for AI in four or five places at once: seat licenses, API usage, cloud GPU, and AI features bundled into tools they already own. Nobody sees the whole picture, so costs climb faster than results. We start with a short, fixed-fee audit that finds every source of AI spend and ties it to an owner and an outcome. From there we put the controls in place, and if you want, we report on it every month.
01 · Fixed fee
YOU RECEIVE
02 · Fixed scope
YOU RECEIVE
03 · Monthly
YOU RECEIVE
SCOPE AT A GLANCE
Every material AI cost has an owner and a use case, and a savings plan is approved.
OUTCOMES
IS THIS FOR YOU?
QUESTIONS
For the assessment we typically need read access to billing data, license reports and cloud cost exports, plus short interviews with the teams using AI. Access is agreed with your security team up front.
Sending each request to the least expensive model that can handle it well, instead of sending everything to the most capable and most expensive model.
The aim is the opposite: clear policies so teams know what they can use without asking, with controls only where spend or risk is high.
Good, we'd build on it. Most cloud FinOps tools see GPU and cloud API spend but miss seat licenses, SaaS add-ons and tools bought on expense reports. The assessment covers all of those and plugs into what you already use.
That's often the best time to set it up, before habits form. The assessment is short and fixed fee, and it will tell you whether the spend is growing faster than the value.
That can save money quickly. The risk is cutting tools that are producing results while keeping ones that aren't. The cost-per-outcome baseline is what lets you cut with confidence.
Start with an AI Decision Review, or talk to us about AI Cost Control. Every engagement starts with a fixed fee and a clear recommendation.
GET IN TOUCH
Tell us what you are working on. A senior member of our AI team will get back to you within one business day.
Prefer to talk now? Talk to Alleria, our AI sales agent.
Last updated October 29, 2026
