Blog

Most organisations are treating “AI governance” like it’s a document-writing exercise. Write a policy. Form a committee. Add a disclaimer to the chatbot. Maybe run a training session. Job done. Except it isn’t. If you’re deploying AI in regulated or operational environments, the uncomfortable reality is this: compliance is going to be audited like finance . Not “do you have a policy?” but “show me the evidence.” And in practice, that evidence lives (or dies) inside your knowl

index is not “just an AI layer on top of your docs” If you’ve taken some time to look at what we do and thought, “Hang on… can’t we just add a copilot / RAG / search upgrade and call it done?”, you’re forgiven, because we've heard this a few times now - hence the blog post!

If you’ve been following the AI boom, you’ve probably heard the term Vector Database  tossed around. It sounds like something straight out of a physics textbook, but it’s actually the "secret sauce" making modern AI - like ChatGPT or advanced recommendation systems - work so efficiently. But what are they, and why should you care? Let’s break it down without the jargon. What is a Vector Database, anyway? Traditional databases (the ones we’ve used for decades) store informatio