The Ultimate CTO's Guide to Sustainable Software Engineering Practices
As technology continues to evolve at a rapid pace, the role of the Chief Technology Officer (CTO) has never been more critical. In…
Sep 16, 2026 · 7 min readAI without the hype: where it pays off, where it does not, and how to choose between building, buying and waiting.
The hard part of an AI strategy is not choosing a model. It is deciding which three processes are worth touching this year, what evidence would show the decision was right, and what the organisation will do differently once the tool exists.
These articles are written for the person who has to defend the budget: where AI genuinely pays back in an SME, what a pilot should be designed to prove, how to tell a capability that compounds from a demonstration that impresses once, and the build, buy or wait question when the underlying tools are still moving quickly.
Regulatory and reputational exposure is treated as part of the strategy rather than a later compliance step — under the EU AI Act, for a European business, that is what it is.