Strategic advisory
FinOps Strategy & Enablement
Build the governance structures, accountability systems, and operating rhythms that make cloud and AI spending decisions defensible. Designed around your operational reality, not enterprise transformation playbooks.
Across AWS, Azure, Google Cloud, and hybrid estates.
Action plan
Owners and success criteria at 30, 60, 90 and 180 days
Operating rhythm
Monthly governance reviews that embed the model during the engagement
Handover
Ownership transfers to your team once the rhythm holds
Core pillars
Three pillars of the operating model
Governance structures
Policies, approval workflows, and operating rhythms that scale with your organisation.
Accountability systems
Attribution, reporting, and decision ownership designed so cloud spend connects to the teams making the decisions.
Business-aligned metrics
Cost intelligence in the language the executive team uses.
Our approach
How the engagement runs
A five-phase engagement that ends with your team running the operating model.
Discovery
Review your current cloud estate, existing tagging and allocation, reporting cadence, and the questions finance and engineering are already trying to answer.
Requirements
Define the metrics that matter to your business: budget accuracy, cost per customer, margin by product line, forecasting error. We calibrate them to what drives decisions at your stage.
Framework design
Design the allocation model, governance mechanisms, and reporting structures. Tailored to your team size and your cloud estate.
Action plan
A 30, 60, 90, 180 day roadmap with owners, decisions, and success criteria at each horizon.
Governance and transfer
Monthly governance reviews establish the operating rhythm during the engagement. Once it holds, ownership transfers to your team.
Every structure the engagement builds exists to turn cloud and AI spend into business value.
What we deliver
A working operating model for cloud and AI spend
Six components, each established in the engagement and owned by your team after handover.
Allocation governance
Approval workflows, change control, and tagging discipline so the allocation model survives staff turnover and tooling change.
Governance and forecasting
Budget management, anomaly detection, and forecasting models tuned to the accuracy the business needs.
Business-aligned reporting
Executive dashboards in finance language and engineering dashboards in engineering language, both sourced from the same allocation model.
Investment discipline
Cloud and AI spending framed as capital allocation across run, grow and transform categories, with finance and engineering deciding together.
Operating rhythm
Monthly governance reviews, quarterly planning cycles, and the escalation paths between them. Designed to survive the handover and run without external support.
AI cost management
Model, GPU and token spend brought under the same standard as the rest of the estate, with the budgets and guardrails to keep it there.
Why Aureon
Why this works
Four things that make an Aureon engagement different.
Scoped to your team's capacity
Recommendations designed around your existing team size and skill mix. No assumption of a large platform team or a dedicated FinOps hire.
Tied to specific decisions
Every recommendation connects to a specific decision or action, with implementation guidance your existing team can execute.
Pattern recognition across sectors
Cross-industry experience from startups to government and from financial services to healthcare. The same principles apply differently in regulated versus unregulated environments, and the engagement accounts for that.
Framework-aligned, provider-neutral
The advisory is grounded in the FinOps Foundation framework. Principles apply across AWS, Azure, Google Cloud, and hybrid estates without favouring any one provider.
Scope comes before commitment
Engagements are sized as investments and scoped to outcomes, not invoices for effort. A thirty-minute call will show what an engagement would look like for your organisation, and nothing is committed until we have agreed the scope and the cost.