Cutting AI run cost with LLMOps FinOps for a fintech
Fintech Scale-up — a fintech organisation — engaged Skillikz on ai cost finops: Token-cost control that halved AI spend without hurting quality. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 3 months.
Rapid GenAI adoption sent model costs soaring with no visibility into where the spend came from or how to control it.
We instrumented token usage end to end, then applied caching, routing and model right-sizing under quality guardrails.
AI spend dropped 52% with no quality loss, and every feature now has a clear, controllable cost.
The AI services behind this outcome
A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.