When full automation makes sense
Complete automation works best in specific situations:
- Consider cases where humans add little value to the decision process, such as adjusting home temperature based on when people are present or managing computer resources in data centers.
- Second, check whether the consequences of occasional mistakes are acceptable. Email sorting can be fully automated because the cost of putting an email in the wrong folder is usually low, especially when users can easily fix mistakes.
- Assess whether the process benefits from running continuously without needing humans to be available, like automatic bidding systems for online ads that run 24/7.
- Determine if the task is so repetitive that it leads to human fatigue or inconsistency, such as quality checks in manufacturing.
- Consider whether the volume of decisions would create too much work for human operators, as with content moderation on platforms that process millions of uploads every day.
Pro Tip: Create backup options in automated systems that connect users to human helpers when the AI isn't sure how to respond.