Setting appropriate human oversight checkpoints

Human review catches AI errors without slowing work too much. The key is matching review intensity to risk levels. High-risk outputs need careful checking. Public statements could hurt your reputation. Strategic plans affect your whole business. These need thorough review. But internal brainstorming or first drafts? A quick check is enough. Build reviews into your natural workflow. When using prompt chaining, check between major steps instead of waiting until the end. Small errors can grow into big problems. For data analysis, verify AI's logic at decision points before accepting conclusions. Team reviews work best. Different people spot different problems based on their knowledge. Create review pairs or rotate reviewers. This prevents blind spots and helps everyone learn about AI. Add technical safeguards too, such as:

• Set alerts for sensitive words.
• Flag outputs that seem unusual.
• Create simple checklists for common tasks.

These tools support human judgment without replacing it.