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%.”
Tech ROI Weekly
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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…
Security debt is different from technical debt. With technical debt, you can patch it gradually — refactor a module here, upgrade a library there. But with security debt, you can’t patch your way out of a breach. One vulnerability, one misconfig, one unpatched server, and your entire organization is at risk. The data is stark:…
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.
Architecture governance fails when it becomes either bureaucracy or absence. This article sets out a lightweight model for standards, ADRs, paved roads, and proportional governance that teams will actually follow.
Data fragmentation is the silent cost killer in enterprise technology. The research is clear: Gartner research puts the average annual cost of bad data at $12.9M per organisation. Most organizations don’t realize how much this costs them because the expense is spread across multiple budgets and departments-a little reconciliation here, a data tool there, some…
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…
