Automation works best when it starts small. Instead of automating a whole department, look for specific tasks that repeat often and follow clear rules.
List the repetitive tasks
For one or two weeks, ask the team to note the tasks they repeat: copying data between tools, sending the same email, preparing the same report.
Score each task
- How often it happens
- How long it takes each time
- How often it causes errors
- Whether the rules are clear or need judgment
Tasks that happen often, take time and follow clear rules are the best candidates.
Start with one workflow
Choose a single workflow, automate it and measure the result for a few weeks. This shows the real benefit and reveals details that were not obvious at the start.
Where AI fits
AI assistants are useful when a task involves reading or writing text, such as classifying inquiries or drafting first replies. Keep a person reviewing the result until you trust it.
Plan for failures
Every automation needs someone who receives an alert when it fails and knows what to do. Documented workflows are easier to maintain when tools or people change.