AI Training Content Discovery Agent

How Cassidy automates Training Content Management for L&D using AI

Step 1: Connect to content sources

Cassidy syncs with your LMS, LXP, SharePoint, Google Drive, Confluence, and third-party content libraries through native integrations, continuously ingesting new and updated learning assets into the Knowledge Base.

Step 2: Normalize and chunk content

The Workflow automatically converts PDFs, SCORM packages, slide decks, and video transcripts into structured text—then chunks content with semantic boundaries and preserves source metadata for accurate RAG retrieval and citation.

Step 3: Enrich with taxonomy and skills tags

Cassidy applies your enterprise taxonomy, maps assets to skills ontologies and role frameworks, detects PII or licensing restrictions, and computes freshness and quality signals—building rich metadata for filtering and personalization.

Step 4: Route for governance review

Content flagged for compliance, accessibility, or SME validation enters a Human-in-the-Loop approval queue, with version control, audit trails, and lifecycle SLAs enforced automatically.

Step 5: Publish to AI-ready indexes

Approved assets are embedded and indexed in Cassidy's Knowledge Base with ACL-aware retrieval policies, enabling enterprise search and RAG assistants to surface accurate, cited answers segmented by audience and security boundary.

Step 6: Monitor and refresh continuously

Cassidy tracks search queries, zero-result terms, and retrieval telemetry—automatically raising refresh tasks, retiring low-value content, and updating taxonomy mappings to keep your learning content fabric current and trusted.