Leila Fielding
Why I picked it
Describing who a course is for in plain words is far easier than building criteria field by field, and a person still approves the result.
Where it helps
A learning specialist types "all line managers in the North region who joined this year", previews who matches and approves the audience.
Watch out: The suggested criteria always need a specialist's approval before they're used.
From Oracle's note
Learning Audience Management adds an AI-assisted way to define worker-based learning audiences from a dedicated criteria page. A learning specialist can describe the intended audience in natural language, ask for sample criteria, inspect available attributes, preview matching workers, and compare exact or similar active audiences they can access. The assistant can suggest a name and description, but it does not publish an audience automatically; a specialist reviews and approves the generated criteria before using the definition.
- Describe the worker group or enter its criteria manually.
- Preview matching workers and compare accessible exact or similar audiences.
- Review and approve suggested criteria before creating the audience.
Configure the Learning Audience Assistant agent on the setLearningAudienceWorkFlowAgent page property and grant the required learning permissions. AI criteria are worker-based and need specialist approval; similar-audience results are limited to 10.
Last reviewed November 2026