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Questions
Common questions about cloud costs, AI strategy, and engineering — editorially curated from advisory themes.
14 questions across 3 topics
How much can a FinOps practice actually save on cloud costs?
Most organizations find 20–40% of their cloud spend is addressable through a structured FinOps practice. The exact savings depend on your starting mat…
Is FinOps really an architecture problem, not just a finance one?
Yes — and this is one of the most underappreciated aspects of cloud cost management. The decisions that drive 80% of your cloud bill are architectural…
What is GreenOps and how does it relate to FinOps?
GreenOps applies the same cost-visibility principles of FinOps to carbon emissions and sustainability. The core insight is that cloud waste is both a …
What is the Shu-Ha-Ri model and how does it apply to FinOps?
Shu-Ha-Ri is a Japanese martial arts concept describing three stages of mastery: Shu (follow the rules), Ha (break the rules), and Ri (transcend the r…
How do I get started with cloud cost visibility if we have none today?
Start with three things: a tagging strategy, a cost allocation structure, and a weekly review cadence. First, define mandatory tags for every resource…
What is the hidden cost of AI that most enterprises miss?
The model inference cost gets all the attention, but it's often the smallest line item. The real costs hide in the supporting infrastructure: data pip…
How should we budget for generative AI when costs are so unpredictable?
Stop budgeting AI like infrastructure and start budgeting it like R&D. Traditional cloud costs are relatively predictable — you provision capacity and…
What is Jevons Paradox and why does it matter for AI costs?
Jevons Paradox observes that when a resource becomes more efficient, total consumption often increases rather than decreases. In AI, this plays out cl…
Should we build or buy our AI capabilities?
It depends on whether AI is your product or your tool. If AI is core to your competitive advantage — your recommendation engine, your fraud detection,…
How do we measure ROI on AI investments?
Define the metric before you build the feature. The most common mistake is deploying AI and then trying to figure out what success looks like. For cos…
What should a cloud architecture review focus on?
A useful architecture review evaluates three dimensions: cost efficiency, operational resilience, and scalability headroom. For cost, look at resource…
How do platform engineering teams help reduce cloud costs?
Platform teams reduce costs by making the right thing the easy thing. When developers provision infrastructure through a well-designed internal platfo…
What are MCP servers and how can they help manage cloud costs?
MCP (Model Context Protocol) servers let AI assistants interact with external tools and data sources. For cloud cost management, an AWS MCP server giv…
How should we structure teams working on AI projects?
Avoid the common anti-pattern of a centralized 'AI team' that serves the whole organization. This creates bottlenecks and disconnects AI development f…