Enterprise-Ai

Imagine asking your policy system a simple question and getting a perfect answer in under a second. Now imagine asking it to analyse fifteen years of reports, submissions, evaluations, and operational metrics. One requires a chatbot. The other requires an engine. Policy teams often reach for RAG because it looks neat and tidy. A chatbot that can trawl internal guidance, regulatory texts, consultation documents and memos feels like a small miracle. And to be fair, a well-tuned Retrieval-Augmented Generation system is a brilliant librarian. It fetches the right paragraph, summarises dense text, and saves you from spelunking through document drives that haven’t been organised since John Key was in office. ...

When I was in Year 6, my history homework was supposed to be full of long, serious answers. There were fifty kids in the class, and I remember wondering — does the teacher actually read every word? So, halfway through one answer, I slipped in a few lines from a song. My heart sank when I handed it in, expecting trouble. But when I got the copy back, there it was — a big red tick on that very page. I had, in some sense, hijacked the teacher’s chain of thought. ...