Portfolio Overview
An interactive demo of portfolio-level FinOps analysis using the four-pillar maturity model: Visibility, Allocation, Optimization, and Operations, the methodology behind enterprise cloud cost intelligence platforms. Evaluate savings opportunities, scan maturity by pillar, and generate executive-ready narrative summaries. Built from enterprise customer success and FinOps experience.
Start here for the full portfolio view. Use the tools below to drill into a single account or generate an AI report. The illustrative savings model below uses the same page.
Cloud cost savings model
This calculator is an illustrative tool: it maps sample annual spend to savings bands that reflect real results from past work in enterprise and mid-market AWS and Azure environments, including reductions up to about 43% where conditions aligned. Use it to understand the methodology, not as a quote for external work.
How the calculator works
Set sample spend
Enter a representative annual figure or derive one from company size and industry
Three savings scenarios
Quick wins (~20%), program-level optimization (~30%), and full strategic depth (40%+), aligned to how savings typically compound over time
Evidence-based results
Numbers are grounded in real customer outcomes and case studies
Range: $10K – $10.0M per year
Based on annual spend of
$500,000
Quick wins
20%$100K / year
$8K / month · $300K over 3 years
- •Rightsizing & unused resources
- •Tagging hygiene
- •Visibility & showback
Optimization Programs delivered 20–35% savings (Rackspace)
Program-level optimization
30%$150K / year
$13K / month · $450K over 3 years
- •RIs & Savings Plans
- •Governance & commitment strategy
- •CloudHealth-style dashboards
CloudHealth lowered spend by 30% (Redapt)
Strategic partnership
41.5%$208K / year
$17K / month · $623K over 3 years
- •Full FinOps framework
- •EDP & MAP funding
- •Executive alignment
Up to 43% customer savings (Career Highlights, Case Study 6)
Proven results
In prior roles, Nathan helped deliver cloud cost reductions up to about 43% in comparable enterprise and mid-market AWS and Azure contexts. Magnitude always depends on baseline waste, governance, and stakeholder buy-in.
Case study
Narrative and metrics behind these bands live on the Experience page (career highlights and case studies).
FAQ
Outputs are rounded and scenario-based. They reflect patterns from past work, not a forecast for any specific org. See Experience for the underlying stories and caveats.
Hiring or collaborating? See Contact, Assess fit, or Experience.
Portfolio Overview
Savings by Optimization Lever
Savings by optimization lever
Total: $2.6M(25%)Top Priority Accounts
Accounts with highest optimization potential based on maturity posture and risk level.
Meridian Financial
Financial Services · 1,000+ employees
SecureHealth Systems
Healthcare · 1,000+ employees
ShopStream Retail
E-commerce / Retail · 500–1,000 employees
All Accounts
CloudScale SaaS
SaaS / Software · 100–500 employees
SecureHealth Systems
Healthcare · 1,000+ employees
ShopStream Retail
E-commerce / Retail · 500–1,000 employees
Meridian Financial
Financial Services · 1,000+ employees
Forge Manufacturing
Manufacturing · 100–500 employees
StreamLabs Media
Media / Entertainment · 500–1,000 employees
Dive deeper
Account Deep Dive: Analyze one account's FinOps posture, maturity, and savings. Executive Report: AI-powered narrative for selected accounts or the full portfolio.
Both use the four-lever FinOps framework and sample portfolio data.