AI Speeds Up Support Groundwork, but Humans Keep the Final Decision

A support engineer with years of second- and third-level experience argues that AI tools can handle much of the preparatory work in ticket handling. Three tasks are highlighted as especially useful: summarising long logs to show where to look first, using semantic search to find similar past cases, and drafting first versions of customer replies. The author cautions that language models can sound convincing while being wrong, invent commands or causes, and lack context such as recent maintenance or customer history. The piece stresses requiring sourced answers, reviewing commands before execution, and keeping personal data protected, possibly through locally hosted models. It concludes that AI acts as a fast assistant while humans remain responsible for diagnosis, changes, and closing tickets.