Ground
Check that generated scenarios, rubrics, prompts, and courses trace back to real source material.
AIducation Studio can generate training quickly, but company content needs a review queue before it reaches learners. This workflow keeps drafts grounded, private, rubric-aligned, owner-approved, tenant-scoped, and audit-ready.
Review is the operating layer between AI-generated content and enterprise-ready academies.
Check that generated scenarios, rubrics, prompts, and courses trace back to real source material.
Remove sensitive data, keep tenant visibility tight, and block learner-facing drafts until review passes.
Route policy, rubric, role-fit, and publish decisions to the right owner.
Move approved content into academies, assessments, governance libraries, reports, and exports.
Each role queue inherits Studio builder outputs, content lifecycle controls, visibility defaults, publish targets, and audit evidence.
Publishing is not just a status change. Each approval records the owner, evidence, visibility, target surfaces, and export trail.
Non-platform admins cannot publish public content; draft content does not become learner-facing evidence.
Reviewer identity and owner role
Source reference and generated object list
Gate decisions and required changes