AI human QA

Review AI agent work before it becomes operational

Use humans to review what AI agents did: research, data entry, outreach drafts, CRM updates, and exception handling.

Request managed AI QA

What to ask a reviewer

  • Review research summaries and source lists
  • Check CRM fields and enrichment output
  • QA outreach drafts before sending
  • Inspect failed or uncertain automation runs
  • Create a clean approval checklist

Good deliverable

A short report with pass/fail notes, specific issues, source links or screenshots, and a prioritized correction list. Keep the task bounded so approval is straightforward.

Suggested prompt for your job post

Please review this AI-generated output against the provided source material. Mark anything incorrect, unsupported, unclear, risky, or missing context. Return a concise issue list and recommended corrections.