Enterprises often start with a tool: buy an assistant, connect a model, run training. Without a trigger, input, owner and outcome, it becomes an unused entry point. A workflow puts the question back in the business context.
A testable starting point is frequent, bounded, checkable and reversible, with an owner willing to adopt it. It may not be the flashiest opportunity, but it is more likely to produce observable signals in two weeks.
The model should perform a bounded capability: organize, classify, retrieve, draft or flag. People retain boundaries, approvals and exceptions. This is not limiting AI; it makes the path into a real accountability chain visible.