THE SHORT ANSWER
What should a product team automate first?
Choose a frequent, predictable task with clear inputs, an owner, and a manual fallback. Preview builds, release checks, and image processing are useful starting points for scripted automation. Use AI when interpretation adds value and its output can be reviewed. Measure waiting time, rework, and maintenance effort together.
Map the handoffs
Look for repeated copying, waiting, and manual checks between design, engineering, and release. Write down the trigger, inputs, output, and person who owns failures. A workflow must be understandable before it can be automated reliably.
Use rules where rules are enough
Image resizing, build checks, and environment setup usually benefit from deterministic scripts or delivery pipelines. Use AI where interpretation helps, such as suggesting a first draft of release notes, and keep the result reviewable.
Treat the automation as a product
Give it version control, useful logs, and a clear way to retry or roll back. Run it on a small project before making it a required step for everyone. Measure whether it reduces waiting and rework, not just how often it runs.
A starting checklist
Pick one frequent, well-defined task.
Document a manual fallback.
Keep credentials out of source code and logs.
Assign maintenance ownership.
Automation creates ongoing work too. Keep it only when the time and consistency it adds outweigh the effort needed to run and maintain it.
