Point AI at Your Most Expensive Hours

Learning Objective: By completing this Nano Learning course, participants will be able to:

• Rank candidate AI tasks by net savings per hour (loaded labor cost minus AI cost including tokens, review and rework) times automatable hours, and explain why routine work in high-wage roles can match or beat clerical automation
• Evaluate an AI use case against what the work costs today and where it is done, recognizing that a lower-cost offshore baseline and onshore review shrink or erase the savings