Your first AI project should start with a task.

It is tempting to begin with a tool. A demo looks impressive, a colleague recommends something, and suddenly the question becomes “Where can we use it?” Try turning that around: what task would you like to make better?

Choose something you can describe.

“Improve our productivity” is a goal. “Prepare a first draft of our weekly internal update from approved project notes” is a task. A specific task gives you something to examine, test, and discuss.

Write down who does it, what information they need, what they produce, and who checks the result. If the process is unclear, clarify it before adding a new tool.

Define a good result before you start.

What would make the experiment worthwhile? Perhaps it is a more consistent first draft or less time spent arranging information. Include the time needed to review and correct the output in your evaluation.

Choose a task where a mistake can be caught before it affects a customer or an important decision. Use information you are authorized to share with the tool.

Keep the first experiment small.

Try a limited set of examples. Compare the result with the way you work today. Ask the person doing the task what improved and what became more difficult.

The experiment can succeed by revealing that a tool is not a good fit. You have still learned something useful before committing more time or money.

Write down the next decision.

At the end, choose whether to continue, change the approach, or stop. A useful AI project begins with a clear task and ends with a better-informed decision.