Automation is most useful after the work is understood. Automating an unclear process often makes its problems happen faster and at a larger scale.

Start with a real example

Choose one recent piece of work and trace it from request to completion. Record what actually happened rather than what the documented process says should happen.

Map five things

  1. Trigger: What starts the work and what information arrives with it?
  2. Decisions: Where does someone apply judgment, permission or interpretation?
  3. Handoffs: Where does responsibility move between people, teams or tools?
  4. Exceptions: What causes the normal route to change?
  5. Evidence: How does anyone know the work was completed correctly?

Look for the actual constraint

A repeated manual step is not automatically the main problem. The larger delay may come from missing information, unclear ownership, approval queues or an exception that nobody designed for.

Choose the smallest useful test

Test one bounded part of the workflow. Keep a human check where judgment, safeguarding, financial risk or irreversible action matters. Agree how you will compare time, errors and user experience before and after the test.