Train Staff to Report AI Errors

Teach staff to capture the input type, output, source conflict, potential impact, and whether anything was sent or executed.

Published September 22, 2026 · Dr. Connor Robertson

What to provide

Examples of wrong outputs, reporting channel, severity definitions, and workflow ownership.

Starting prompt

Turn these known failures into a short staff exercise. For each example ask what is wrong, whether work must stop, who to notify, and what evidence to preserve.

Trial case

Give staff a polished answer with one fabricated source reference. The exercise should ask them to stop use, preserve the evidence, and report the failure to the workflow owner.

Review gate

The workflow owner closes the loop with prompt, source, or process changes and tells reporters what changed.

How to score the result

Time from discovery to containment and repeated failures after a fix.

Use the current approved source and keep it available to the reviewer. Check a small set of finished outputs against the previous process before adopting this workflow.

Related workflows

Explore AI Governance and ROI for Small Business or the AI business strategy guide.