Poorly designed AI workflows create bottlenecks, errors, and frustration. This course teaches how to build processes that automate effectively while preserving human judgment, transparency, and accountability.
Objectives:
- Decide which tasks to automate and where human judgment adds essential value
- Design review checkpoints that catch AI errors before they affect outcomes
- Ensure transparency in AI decisions so users understand how outputs are generated
- Create user-friendly workflows that employees can navigate with confidence
- Build accountability into AI processes to prevent errors and maintain standards
