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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:

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