Cloud economics & AI infrastructure
Navigate infrastructure complexity with control.
Fitzroy helps organizations reduce cloud waste, strengthen backend systems, and prepare for the economic demands of AI-scale infrastructure.
$723.4B
Global public-cloud spend forecast in 2025
Source: Gartner
84%
Organizations naming cloud spend as a top challenge
Source: Flexera
63%
FinOps practices already managing AI spend
Source: FinOps Foundation
Market currents
The current is changing.
Cloud spending is expanding rapidly, while AI workloads introduce a more expensive and less forgiving class of infrastructure decisions.
Worldwide public cloud end-user spending (USD)
21.5%
Forecast growth
in 2025
Source: Gartner
(November 2024)
Gartner forecasts 21.5% growth in worldwide public-cloud end-user spending in 2025. AI adoption is accelerating the role of cloud infrastructure in business operations.
What sits beneath the surface
Understand where value is created — and lost.
Global public-cloud market by service type (2025F)
The public-cloud market is now a major operating layer. SaaS remains the largest segment, while infrastructure and platform services increasingly carry the economic pressure created by AI-heavy workloads.
Source: Gartner 2025 public-cloud segment forecast.
Chart your route
Chart your current infrastructure economics.
Adjust the key levers to understand the potential impact.
Monthly cloud spend
$500,000
Estimated recoverable inefficiency
25%
Your potential impact
$1.5M
Potential annual savings
$1.3M
First-year net value
2.0
Months payback period
$4.3M
3-year cumulative value
What a focused review examines
Look beyond the cloud bill.
The strongest savings opportunities usually sit at the intersection of architecture, workload behavior, and operating discipline.
Architecture drag
Over-provisioning, idle services, and fragile backend patterns.
Operating controls
Scaling rules, ownership gaps, and missing cost guardrails.
AI readiness
GPU utilization, scheduling pressure, and data-path bottlenecks.
The Fitzroy approach
From insight to impact.
1. Chart the system
Map cloud spend, backend architecture, workload behavior, and AI infrastructure dependencies.
2. Identify drag
Find avoidable cost, reliability risks, and operational inefficiencies.
3. Build for control
Prioritize the improvements that create measurable value and a more scalable technical foundation.
Built for leaders in technology, finance, and operations who need a clearer path from infrastructure complexity to measurable value.
Build infrastructure that can carry the next stage of growth.
Start with a focused review of your cloud economics, backend architecture, and AI infrastructure readiness.
Request a focused review