The first useful AI project is usually not a chatbot on the website. It is a repetitive, low-risk task that already wastes somebody’s time. Start there, keep a human responsible for the result, and measure whether the change actually helps.
Look for repetition, not spectacle
A good candidate happens often, follows a recognizable pattern, and produces an output a person can review quickly. The work should be annoying enough to matter but not so sensitive that a bad draft creates an immediate problem.
- Turning rough meeting notes into a consistent summary
- Drafting a first response to a common customer question
- Reformatting information into a checklist or table
- Comparing two versions of a document for meaningful changes
Choose one owner and one definition of “better”
“Use AI more” is not a goal. Pick one person who understands the current task and decide what improvement would count: fewer minutes spent, fewer missed fields, a faster first draft, or more consistent formatting. If nobody owns the output, the experiment will become another abandoned tool.
Remove sensitive information from the first test
Do not begin with customer records, health information, financial details, passwords, private employee matters, or confidential contracts. Use invented or properly anonymized examples while you learn how the tool behaves and while you confirm what data protections your account actually provides.
Write down the human review
AI can produce a confident error. The person reviewing the result needs to know what to check, not simply that they should “review it.” A useful checklist might require confirming names, dates, dollar amounts, policy language, links, and any factual claim before the work leaves the company.
Run ten real examples before buying more
Use the same task ten times. Record how long the old method took, how long the new method took including review, and what had to be corrected. That small sample will tell you more than a polished demonstration built around somebody else’s business.
A worthwhile first AI project is small enough to stop, easy enough to check, and boring enough that saving ten minutes actually matters.