The best first AI project is not necessarily the biggest problem in the business. It is often a recurring task with clear inputs, a reviewable output and a person who can tell whether the result is useful.
Examples include preparing a meeting summary, organizing incoming requests or drafting a follow-up from approved information. These are starting points to assess, not promises that every task can safely run unattended.
Find the repeated work
List five tasks your team performs each week. For each, note who does it, what information they need, how long it takes and what goes wrong. Look for work that is repetitive enough to compare but not so consequential that a first experiment puts customers at risk.
If nobody agrees on the process, clarify it before automating it. AI will not resolve a disagreement about who owns the next step.
Design the handoff and the review
Consider a service business that receives customer requests by email. A bounded first workflow could prepare a draft summary with the requested service, location, timing and unanswered questions. A person checks it before creating an appointment or sending a reply.
Define what happens when information is missing. The workflow should flag an unknown address rather than invent one. Keep sending messages, accepting commitments and changing records behind an explicit approval until the process earns more trust.
