Foundational engagement
Cloud Economics Baseline
Build a defensible view of where cloud dollars go and what the business is getting for them. For growing companies looking for a starting point, the baseline reports where the practice stands and recommends where to go next.
Self-service, at no cost, no call required.
Allocation model
A defensible structure that traces every cloud dollar
Business-mapped spend
Cost-to-serve by customer, product, or feature
Optimisation with context
Commitments and rates tuned against business value
Why this exists
Reporting isn't answering
Most organisations can produce a cloud bill. Very few can defend what that bill is delivering. The same question applies across AWS, Azure, Google Cloud and hybrid estates.
The reporting gap
Most growing companies can report total cloud spend accurately. Very few can defensibly answer what that spend is delivering, which customers it serves, or which business decisions depend on it.
What closes the gap
A defensible practice across five dimensions. The diagnostic shows where you stand on each. The work that follows is scoped to your situation, not to a template.
Five dimensions
What good looks like
The diagnostic measures a cloud financial practice across five dimensions. What good looks like on each is set out below.
Cost attribution
Cloud spend is traceable to a named team, product, or business unit. When the CFO asks why spend grew last quarter, the answer comes in a day, not after weeks of manual analysis.
Business value mapping
Cloud cost shows up where business decisions happen. You can calculate cost-to-serve per customer, product, or feature, and quantify cloud impact on a pricing change before the decision is made.
Cost optimisation
Optimisation decisions trace to specific business levers. Commitment coverage is measured against eligible steady-state workload with a named owner, and savings claims can be defended line by line.
Operating discipline
The practice runs on a regular cadence with named owners. Forecast variance is measured, explained, and acted on. The practice survives if any one person leaves.
AI cost management
AI and GenAI spend is tracked as its own line, attributable to the teams, products, and features driving it, rather than buried inside general compute. Workloads run behind budgets and guardrails, so a runaway training job or a token-hungry feature is caught within days instead of surfacing on the next invoice.
Most organisations can produce a cloud bill. Very few can defend what that bill is delivering.
How to start
How starting with Aureon works
The diagnostic is step one. From there, every engagement is shaped to what the result shows.
Start the diagnostic
Ten minutes to measure the practice across the five dimensions. The result states where the practice stands and names a recommended starting point.
Have the scoping conversation
Thirty minutes with us. The diagnostic result becomes a tailored engagement plan: which engagement, what shape, what your team will need to bring.
Run the engagement
Scoped to your situation, sized as an investment. The work addresses one or more of the five dimensions, depending on what the diagnostic surfaced.
Confidence in your cloud spend decisions
Spend that is attributable, optimisation that traces to business levers, and an operating rhythm that holds as the estate grows.
After the baseline
The findings shape what comes next
Completing the diagnostic produces the baseline report: the current position across the five dimensions and the material gaps. The report recommends where to go next, weighing the biggest gaps against what matters most to the business.
FinOps Maturity Assessment
When the report shows gaps across several dimensions at once, the maturity assessment examines the practice in depth and sequences the work: what to fix first, what can wait and why.
FinOps Strategy & Enablement
When the report shows the gaps are in decision rights, accountability and cadence, this engagement builds the operating model around how the company already plans and budgets, designed with the people who will run it.
FinOps for AI
When the report shows AI cost management as the priority, this engagement brings model, GPU and token spend under the same standard as the rest of the estate.
Why Aureon
Why this approach works
The principles that shape every Aureon engagement.
Mechanism before outcome
Attribution exists to answer business questions; if the model is not defensible, neither are the answers. Rate and usage decisions made against an allocated, business-mapped view produce different choices than the same work done against raw data. Aureon sequences both.
Business dimension matched to your reality
Cost-to-serve looks different for a SaaS business, a marketplace, and a regulated services firm. Aureon scopes to the dimension that actually drives the decisions.
Built to survive the handover
The model, the rhythm, and the documentation transfer to the team. What remains is a foundation for an ongoing practice.
Independent by design
Aureon recommends practices and tools across AWS, Azure, Google Cloud, and hybrid estates, and sells none of them. The same allocation, mapping, and optimisation work applies whichever provider holds the workload.
Not sure where to start?
The diagnostic turns that question into a measured answer and points to the right next engagement. Engagements are sized as investments and scoped to outcomes, with the investment agreed in the scoping conversation.