Introducing AI into a business starts with choosing a useful task. An effective first project has clear inputs, an understandable result, and a person who can judge whether that result is good enough.
Map the work as it happens Follow a task from its first input to its final handoff. Look for repetitive reading, classification, or drafting work. Note where information is missing and where a wrong answer would create extra work.
Keep the first scope small An assistant might draft a response from approved material for a colleague to review. Define what it may use, what it must leave to a person, and what happens when it cannot find an answer.
Measure quality alongside time Saving time is useful only when the output meets the required standard. Compare representative tasks with the existing workflow. Track corrections, incomplete answers, and review effort as well as turnaround time.
Improve with the people doing the work User feedback can reveal whether the issue is missing context, a confusing interface, or an unsuitable task. Expand the workflow when the evidence supports it, and keep ownership of important decisions clear.