The best first AI project is a frequent, measurable problem supported by accessible information and a team able to judge the result.
Start with the work, not the tool
List the tasks repeated every week and describe who performs them, how often and what happens when information is missing.
This prevents a tool or subscription from being selected before the problem is understood.
Compare ideas using four criteria
Use a simple grid to discuss frequency, impact, feasibility and control.
- Frequency: does the task happen often enough?
- Impact: will the improvement matter to the team or customer?
- Feasibility: are the required data available and authorised?
- Control: can people verify the output and take over when needed?
Define a limited pilot
Choose one process segment, one willing team and one owner. Measure the current situation before testing the new workflow.
Check data, access and rules
Define what information may be used, where it is processed and who can access it. Keep human approval when an output affects a customer or commitment.
Decide with evidence
Compare quality, time, adoption, operating cost and maintenance with the starting point before expanding the pilot.