LLM Cost Optimisation for Financial Services

We benchmark quality before and after every optimisation. A saving that quietly degrades output is not a saving, it is a deferred cost.

In financial services, every automated decision must be explainable and reproducible months after the fact. That single fact reshapes how llm cost optimisation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is client communication review, usually integrated against core banking. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.