Verifying AI-Generated Work

This course teaches learners how to use AI efficiently without treating its output as automatically reliable. Learners identify hallucinations and other quality risks, verify consequential claims, protect sensitive information, and establish a lightweight human-in-the-loop review process for daily business work.

What this course covers

AI Output Risk-Triage Checklist.
Claim-and-Source Verification Log.
Safe-to-Publish review workflow.
One-page internal AI-use policy covering approved tools, review roles, sensitive data, and escalation triggers.

Modules

Module 1: AI Is a Drafting Partner—Not a Source of Truth

Establish the correct mental model for generative AI. Learners distinguish between AI’s ability to generate plausible language and its ability to provide accurate, complete, current, and context-appropriate information.

Module 2: Spotting Hallucinations and Other Red Flags

Learners practice recognizing signals that an AI response needs more scrutiny. The emphasis is on useful detection habits, not assuming every error will be obvious.

Module 3: Classify the Risk Before You Verify

Learners use a simple risk matrix to decide when a quick check is enough and when expert review is mandatory.

Module 4: Verify Facts, Numbers, Quotes, and Citations

This module turns fact-checking into a repeatable process. Learners verify the underlying claim—not merely whether AI provided a plausible link.

Module 5: Improve the Prompt Before the Review Starts

Better inputs reduce, but do not eliminate, verification work. Learners create structured prompts that constrain AI to the business context, request uncertainty disclosure, and require sources where appropriate.

Module 6: Review Business Documents and Communications

Learners apply the verification workflow to client emails, proposals, SOPs, marketing copy, research briefs, reports, and presentation content.

Module 7: Protect Sensitive Data and Use Approved Sources

Accurate output is not enough if the workflow exposes confidential information. Learners establish practical data boundaries and safer ways to use AI with business materials.

Module 8: Build a Human-in-the-Loop Quality System

The final module turns individual verification habits into a lightweight operating system that a small business can sustain without slowing work to a halt.

Course features

SCORM 1.2 or 2004 Audio Narration Captions Transcript Knowledge Checks Locked Navigation Certificate

Frequently asked questions

Who should take Verifying AI-Generated Work?

This course teaches learners how to use AI efficiently without treating its output as automatically reliable.

How long does the course take?

About 30 minutes, delivered across 8 modules with knowledge checks.

What does the course cover?

AI Output Risk-Triage Checklist; Claim-and-Source Verification Log; Safe-to-Publish review workflow; One-page internal AI-use policy covering approved tools, review roles, sensitive data, and escalation triggers.

Do learners receive a certificate?

Yes. The course issues a certificate on completion. It ships SCORM 1.2 or 2004 with audio narration, captions, transcript, and runs on the Provisant learning platform.