6 min read
What actually runs an AI model: the five layers behind the chat box
A plain guide to AI infrastructure for people who have to approve the purchase, and the reason "we need an AI server" is never a complete sentence.
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Articles
AI is moving fast, and so are the questions around privacy, security, cost, infrastructure, regulation and control. Here we examine the facts behind the decisions organisations face when they adopt AI. Each article takes one specific question and answers it with dated facts, named organisations, primary documents and reputable sources. No hype. No vague claims. Just evidence, context and practical analysis, so you can see what is changing, what it means for your organisation, and where AI belongs.
6 min read
A plain guide to AI infrastructure for people who have to approve the purchase, and the reason "we need an AI server" is never a complete sentence.
Read the article
7 min read
Which workloads are worth moving first, what the regulation puts on the entity rather than the supplier, and the sequence that gets a small financial organisation from nothing to a governed AI workflow.
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7 min read
Which healthcare workloads are realistic first, what Article 9 and the AI Act's classification rules actually say, and why local processing is an architectural advantage rather than a compliance answer.
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7 min read
Which legal workloads are worth running locally, why retrieval permissions matter more than model quality in a firm, what a disclosed zero-click vulnerability teaches about documents from the other side, and what a local model still cannot do.
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