FinOps consulting services
FinOps services for cloud-heavy teams.
The work is designed for organizations that need better cloud cost visibility, ownership and predictability without slowing engineering delivery.
What I help teams improve
- Cloud cost visibility across AWS, Azure, hybrid and AI workloads
- Allocation by team, product, environment or business unit
- Tagging, metadata and shared-cost rules
- Showback and chargeback readiness
- Budgeting, forecasting and anomaly controls
- Optimization backlog and engineering action cadence
- AI spend governance for LLMs, APIs, GPUs and experiments
- Executive reporting and FinOps operating model
10-Day FinOps Assessment
Best for
Teams that know cloud cost is becoming a problem but do not yet know whether the root issue is visibility, allocation, governance, architecture, forecasting or optimization.
Deliverables
- Executive summary
- Current-state findings
- Visibility and reporting gaps
- Allocation and ownership gaps
- Governance and operating cadence gaps
- Optimization opportunity list
- AI/cloud spend risk notes
- 30/60/90-day roadmap
Cloud Cost Visibility & Allocation Setup
Best for
Teams that need reliable showback, ownership and cost reporting by team, product, environment, application or business unit.
Deliverables
- Allocation model
- Tagging and metadata approach
- Shared-cost handling
- Dashboard structure
- Reporting cadence
- Ownership map
- Showback/chargeback readiness notes
AI Spend Governance Review
Best for
Teams using LLMs, AI APIs, GPUs, copilots, agents, model training, inference workloads or AI-enabled products.
Deliverables
- AI cost driver map
- Usage ownership model
- Budget and anomaly approach
- Cost-per-API-call / token / inference considerations
- Experiment vs production separation
- Forecasting risks
- Governance recommendations
Fractional FinOps Advisory
Best for
Teams that need ongoing FinOps support but are not ready to hire a full-time FinOps lead.
Deliverables
- Monthly cost review
- Stakeholder cadence
- Savings backlog
- Forecasting support
- Executive reporting
- Governance improvements
- Platform/engineering advisory
Pricing placeholder
Use this section only when public pricing is approved. Replace this placeholder with scope-based pricing that matches current offers and delivery capacity.
FAQ
Common questions
What is FinOps?
FinOps is an operating model that helps engineering, finance, product and leadership teams collaborate on technology spend, value and accountability.
Do you only focus on cost cutting?
No. The focus is visibility, allocation, governance, forecasting and better engineering decisions. Optimization is part of the work, but it comes after the team understands ownership and operating cadence.
Which cloud platforms do you support?
AWS, Azure, hybrid environments and AI workloads. The first assessment clarifies the exact scope and data available.
Do you support AI cost governance?
Yes. AI spend governance covers LLM/API usage, GPU or compute patterns, experiment controls, production usage, budget alerts, anomaly response and ownership.
Do you work with MSPs or cloud consultancies?
Yes. Partner and white-label FinOps support is available for MSPs and cloud consulting firms.
Is pricing public?
Pricing depends on scope, environment size, stakeholder needs and deliverables. The first step is a discovery call.
Need a first step?
The 10-day assessment is the cleanest way to separate visibility, ownership, governance and optimization issues.