What I learned and didn’t expect:
I didn’t expect that identifying automation opportunities requires checking stability, data structure, error rates, and complexity — not just spotting repetitive tasks.
What was difficult and how I overcame it:
Understanding how each question in the Process Assessment Tool affects the automation score was challenging, but the real examples helped me see how the evaluation works.
Most useful thing I learned:
A process is automatable when it is repetitive, predictable, rule‑based, uses structured digital data, and stays stable over time