We use AI where it improves the analysis. That includes condensing interviews and tickets into meaningful themes, or surfacing contradictions between documents that cannot be extracted side by side at speed. It also includes drafting first versions of user stories that a human then sharpens, or checking a set of requirements for gaps. These are all tasks that a targeted use of AI makes genuinely more effective. The judgement stays with the analyst and, of course, with you. The biggest lever that LLMs create is the speed at which relevant information can be brought together. Connections, overlaps and blind spots become visible in no time and can therefore be worked into solution spaces earlier.