AI SpendOps - Finance grade reporting of your AI LLM API calls sliced by your own dimensions

AI spending is growing fast, and most organisations can't answer a basic question: what are we actually spending on AI, and is it worth it?

AI SpendOps is a high-performance proxy that sits in front of your AI API calls. Route your traffic through us and within minutes you get a complete picture of where your AI budget is going, attributed by team, product, feature, environment, and cost centre.

AI SpendOps deploys as a low-latency high throughput gateway that requires no SDK changes or code refactoring. Set up takes minutes, not sprints. Once live, every AI API call is automatically tracked, costed, and attributed using the dimensions your finance team already works with.

Real-time cost attribution across every AI provider and model. Budget enforcement and burn-rate alerts before spend spirals. Finance-grade reporting that both engineers and CFOs can trust. Model governance enforced at call-time through policy. Forecasting built on real usage data, not estimates. Exportable chargeback reports mapped to your own cost centres.

Engineering teams get frictionless tracking without workflow disruption. CTOs and CIOs get a single pane of glass across providers, with shadow AI prevention and a full audit trail. CFOs and Finance Directors get independent, finance-ready reporting without chasing engineering. FinOps teams get multi-provider visibility that fits into existing cloud cost workflows.

Most cloud cost tools weren't designed for the consumption-based, multi-provider reality of AI APIs. AI SpendOps was built specifically for this problem, bringing FinOps discipline to AI spend so you can scale AI adoption with financial confidence.