Whitepaper
Cloud Value Governance
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Why Cost Discipline Alone No Longer Answers the Boardroom's Questions
Most enterprises can now see where their cloud money goes. Very few can show what it produces. As AI workloads add GPU, token and inference spend to the bill, that gap becomes harder to defend in the boardroom. This whitepaper introduces Cloud Value Governance, which extends your existing FinOps foundation so that cloud and AI decisions are made against business outcomes rather than spend alone. It includes a scoring instrument called the Cloud Value Index, a worked banking example, and an honest account of where value measurement is hard.
What's Inside
- Why FinOps stalls at cost: Why most programs stop at allocation and optimization, and why the data needed to measure value sits outside the cloud bill.
- The four governance dimensions: How financial, technology, AI and value governance come together into a single investment decision.
- The Cloud Value Index (CVI): A weighted scoring model that compares business value against cloud and AI investment, workload by workload.
- A worked banking example: How a digital onboarding platform scored, and how the CVI shows which workloads to fund, question or rationalize.
- The AI value gap: Why AI managed only as a cost gets cut, and two measurement habits that fix it.
- Unit economics as the translation layer: How to turn infrastructure spend into cost per customer, transaction or claim.
- A five-level maturity model and where to start: A path from visibility to autonomous value reallocation, with five priorities in order.
Measure the business value of cloud and AI investments.
FAQ
1. What is the Cloud Value Index?
The Cloud Value Index (CVI) is a scoring instrument that divides a weighted business value score by the total cloud and AI investment for a workload. The value score covers five areas: financial, productivity, customer, innovation, and risk impact.
2. How do you measure the ROI of AI workloads?
Measure the value of each interaction rather than the cost per token. Track resolution rate, escalation rate, and human-intervention rate. Treat AI agents as operational capacity, measured by throughput, quality and cost per case handled.
3. What are cloud unit economics?
Cloud unit economics expresses cloud spending in business terms, such as cost per customer, transaction, claim or AI interaction. You get it by joining cost allocation data to a business volume metric.
4. What is the FinOps maturity model for cloud value?
It has five levels: Visibility, Accountability, Unit Economics, Value, and Autonomy. Most enterprises sit between Levels 2 and 3. Reaching Level 4 requires Finance, Product, and Technology to agree on one definition of value.
5. Where should enterprises start with cloud value measurement?
First make sure cost allocation coverage is above 95%. Then build unit economics, pilot the Cloud Value Index on five workloads, instrument AI at the interaction level, and put value on the same review agenda as cost.
