In this episode of The Data Literacy Show, Ben Jones (CEO of Data Literacy) and Alli Torban (Senior Data Literacy Advocate) share a practical framework to help you identify strong AI automation candidates, reduce risk, and keep quality high over time.

Topics covered:

• How to use the Frequency–Complexity Matrix to spot good automation opportunities

• How to evaluate a task’s exception rate and decide between full or hybrid automation

• How to estimate recovery cost so you can start automating safely

• The four categories of Automation Health Metrics every team should monitor

• Why humans still play a critical role in trusted automation

Links mentioned:
Show notes: https://dataliteracy.com/episode-11

Waitlist for our new course Enhancing Your Workflow with AI: https://dataliteracy.com/enhancing-your-workflow-with-ai/