How do you prioritize AI automation opportunities?

The best first opportunity is usually frequent enough to matter, close enough to revenue or customer experience to be visible, and narrow enough to launch safely.

Workflows with unclear rules, messy data, missing access, or high-risk decisions should be cleaned up or scoped down before they become the first build.

A priority scorecard keeps teams from choosing the loudest idea and instead points the first pilot toward the workflow most likely to produce measurable proof.