Cloud rarely saves money by migration alone. This issue explains why cloud economics depend on workload design, data movement, resilience choices and ongoing financial governance.
Most ROI frameworks are built to win approval, not to track outcomes. A measurement plan that survives go-live needs different thinking from the start.
Most organisations that have significant cloud cost problems have tried to solve them with FinOps tooling. Dashboards. Tagging policies. Showback reports. Reserved instance calculators. And in most cases, those tools surface the problem without fixing it, because cloud cost overrun is not a tooling problem. It is a governance problem. Where cloud cost governance breaks…
The business case was approved, the technology delivered, and the projected benefits never arrived. The failure is almost never in the technology. It is in the assumption that go-live is the end of the investment story rather than the beginning.
Every digital transformation starts with a business case. “We’ll migrate to the cloud and save £2M/year on infrastructure.” “We’ll implement AI and increase revenue by 15%.” “We’ll refactor the legacy system and improve time-to-market by 40%.” These projections are made with confidence. Board approves. Budget is allocated. Project launches. Two years later: Did we actually…
Your teams are experimenting with AI everywhere, but AI is only one part of a wider technology ROI governance problem. Marketing is using ChatGPT 4 for campaign copy. Engineering is testing Claude for code reviews. Finance built an integration with an open-source LLM. Product is using GPT-4V to analyse user screenshots. HR is trialling a…
Technology ROI readiness depends on more than one capability. This diagnostic helps leaders assess data, governance, skills, infrastructure and business-case readiness in one view.
