A useful AI project starts with a specific task. Summarising a known document set or assisting a repeatable internal workflow creates a clearer starting point than a general instruction to add AI to a product.
Define which information the system can use and who can access the result. Decide what good output looks like, keep representative examples, and evaluate changes against those examples.
Keep the deployment scope proportional to the evidence. Give people a way to inspect, correct and escalate results, especially when an output could affect a customer or a business decision.