The strongest first AI project is rarely the most dramatic idea. It is a frequent, well-understood task where the team can review outputs, protect sensitive information, and recognize whether the change is actually useful.
01
Start with a task, not a tool
Look for repeated reading, drafting, classification, searching, summarizing, or handoff work. Describe the input, decision, output, current effort, common errors, and the person accountable for the result.
02
Classify the information involved
Decide what information is public, internal, confidential, personal, or otherwise sensitive. Confirm which tools and accounts are permitted before staff place organizational information into an AI service.
03
Design human oversight
Identify who reviews an output, what they check, when the result can be used, and what happens when confidence is low. Higher-impact decisions need stronger controls than internal drafting assistance.
04
Pilot, observe, then expand
Test with a small group and representative work. Track usefulness, correction effort, failure patterns, adoption, and any new risks. Expand only when the operating process is understood.