Choose a bounded task
“Add AI to operations” is an ambition. “Suggest the product category for an incoming enquiry” is a task you can examine. Define the inputs, expected output and conditions under which the suggestion is useful. A bounded task makes both implementation and evaluation more concrete.
Look at the information it will use
If source material is incomplete, outdated or contradictory, the system inherits those problems. Identify who owns the information, who can access it and how updates reach the application. Data preparation and access design belong in the project scope.
Design the uncertain answer
The interface should have a useful path when the system cannot answer confidently. That might mean showing the source, asking for clarification or handing the task to a person. Avoid making a polished sentence look more certain than the evidence behind it.
Evaluate the real work
Build a test set from representative, appropriately handled examples, including difficult cases. Review output quality, time saved after checking, and the cost of mistakes. A demonstration that works on a few easy inputs is not the same as a reliable operational workflow.
Keep responsibility visible
Someone needs to own the source information, review failures and decide when the workflow changes. AI does not remove that responsibility. The useful question is whether the complete process, including oversight, helps the team do better work.