Advisory service
FinOps for AI
Model APIs, GPUs and tokens now arrive on the same bill as your cloud estate. We bring them under the same standard: accountable spend, connected to business value.
Independent and vendor agnostic, across every model provider and cloud.
The AI line
AI spend tracked and attributed, not buried in compute
Cost per outcome
What a completed task costs, in units the business recognises
Guardrails
Budgets and limits that catch drift early
Why this exists
A new bill, the same standard
AI spend grows differently from the cloud spend you have already disciplined. It deserves the same accountability.
How AI spend arrives
Model APIs bought on a developer card. GPU capacity reserved ahead of demand. Tokens consumed by features, agents and experiments. This spend lands outside the procurement, tagging and review discipline your cloud estate took years to build.
What closes the gap
The same practice, extended: attribution that gives the AI line a named owner, unit economics that price the completed outcome, and guardrails that catch a runaway cost within days. The practice is assessed through the diagnostic's AI dimension and delivered as engagements scoped to your starting point.
Four capabilities
What good looks like
The four capabilities of a defensible AI cost practice. The diagnostic's AI dimension shows where you sit.
Spend visibility & attribution
AI and GenAI spend is tracked as its own line: model APIs, training, inference infrastructure, attributable to the team, product or feature driving it.
Unit economics & value
Price per million tokens is an engineering number. The number that governs investment is the completed task: what a feature, a customer interaction or an agent run costs, and whether it earns its keep.
Investment governance & guardrails
Budgets and limits per team and workload, with a review cadence that treats AI initiatives as a portfolio. A misconfigured training job or a token-hungry feature is caught within days.
GPU & token commitment planning
Reservations, batching, caching and provider pricing strategy, decided with business context. Commitments follow demand you can defend, not capacity you hope to use.
Price per million tokens is an engineering number. The number that governs investment is the completed task.
How to start
How starting with Aureon works
The diagnostic is the natural first step. From there, every engagement is shaped to your situation.
Start the diagnostic
Fifteen statements, ten minutes, AI cost management among the five dimensions. You finish with a clear position and a recommended starting point.
Have the scoping conversation
Thirty minutes with us. Your AI result becomes a tailored engagement plan: which capability first, what the engagement looks like, and what your team brings.
Run the engagement
Scoped to your situation, sized as an investment. The work builds the capability your diagnostic surfaced, on your existing attribution foundation or establishing one where it is missing.
AI spend you can see, explain and act on
Spend attributable to the teams and features driving it, unit economics that govern investment, and guardrails that catch a runaway workload within days.
Three entry points
See it, explain it, act on it.
The three questions that decide whether AI spend is under control. Each is an engagement, built from the capabilities above.
See it
The engagement establishes the AI line: model, training and inference spend separated, attributed to the teams and features driving it, and given a named owner.
Explain it
The spend is visible but its value is not. The engagement builds your unit economics: cost per completed task, per feature, per customer, connected to what the business earns from it.
Act on it
You can see and explain the spend; now it needs governing. Budgets, guardrails and review cadence that preserve the programme’s licence to spend, plus GPU and token commitment planning against demand you can defend.
Scope comes before commitment
Engagements are sized as investments and scoped to outcomes, not invoices for effort. The diagnostic's AI dimension shows which of the three questions to answer first, and nothing is committed until we have agreed the scope and the cost.