/ INSIGHTS
Practical thinking on cloud, software and AI delivery.
Technical articles, architecture notes and practical guidance from the work of designing and building production systems.
Responsible AI
Ethical AI needs an audit trail, not a policy document
The EU AI Act's high-risk obligations become enforceable on 2 August 2026, and most "ethical AI" conversations still happen at the policy layer. That doesn't survive contact with an agent making autonomous decisions.
Agentic AI
Why most agentic AI projects fail before they start
Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027. For SMEs, the reasons have less to do with ambition and more to do with the AWS estate and governance most projects are launched onto.
AI Engineering
What an AI-ready cloud platform actually needs
AI projects that fail in production almost always share the same root cause: the cloud platform was not ready for them. Here is what readiness actually means in practice.
Software Architecture
How to approach custom software before writing code
The most expensive software mistakes happen before a line of code is written. A structured discovery process reduces wasted build effort, clarifies requirements and produces architecture that fits the real problem.
Cloud Engineering
Cloud Engineering. Software Development. AI Solutions. Why the order matters.
The sequence in which we position our services is deliberate. Cloud engineering comes first because without the right foundations, the software and AI built on top of it will fail in production.
Responsible AI
Not every business problem needs AI
AI is a powerful tool in the right context. But most operational problems can be solved more simply, more cheaply and more reliably without it. Here is how to think clearly about when AI genuinely adds value.