Perspectives
Practical thinking on FinOps, cloud cost, AI operations, and revenue operations.
This is where Thomas shares direct observations on topics that come up in advisory work — not trend-chasing, not thought leadership theater. Just clear thinking on things that matter to the people and organizations he works with.
Topics include: where mid-market cloud spend actually leaks, build-vs-buy and unit economics, what works in AI operations versus vendor demos, how to kill a bad AI pilot, and the operating cadence that keeps cost and revenue aligned.
Latest
Most cloud cost problems aren't cloud problems — they're ownership problems. The three questions to answer before buying another tool.
Read →AI budgets rarely blow up on training. They blow up on production inference nobody counted. Three checks before you scale.
Read →Dashboards and discounts don't change the architecture generating the bill — which is why the savings have a half-life.
Read →If a system can return a different answer to the same input, that's a design choice. Where AI belongs, where it doesn't, and the propose-then-verify pattern.
Read →Automating a process built on unreliable data produces wrong answers faster. The four things to verify before you automate anything.
Read →Most organizations have reporting, not awareness. The three levels of knowing — and why how long it takes you to find out is the number that matters.
Read →If there's a topic you'd like covered, bring it up on the intro call — the best perspectives come from real questions.
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