Skip to content

Calibrate Your Collaboration with AI

The Verification Workflow

Play Video

Lesson Summary

This lesson walks you through the complete five-step verification process you'll apply in the hands-on lab. Starting with claim inventory (extracting testable statements), you'll move through trust calibration (risk tagging), triangulation (source confirmation), product repair (fixing errors and aligning assessments to objectives), and audit documentation (proving due diligence). This sequential workflow transforms AI-generated content from "sounds good" to "defensibly accurate and safe to publish." You'll use this exact process on the AI-generated course draft in the lab, producing verified deliverables that meet compliance and quality standards.

Time to Complete

10 min

Job Aids

source-of-record pack

Learner Objectives

Identify and isolate specific, testable statements and factual claims from AI-generated content.
Apply risk tagging to identified claims to prioritize which elements require the most intensive verification.
Cross-reference AI-generated statements against authoritative sources of record to confirm accuracy.