Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Corporate wikis and RAG assistants are usually accurate on day one, then decay as policies change, duplicate files pile up and resolved issues never make it into documentation. This course teaches how to build automated knowledge flows that capture information where it is created—meetings, resolved tickets, updated SOPs, regulatory bulletins—and route it to the right people and indexes.

Participants build workflows for document change detection, automated metadata tagging, knowledge-gap capture and permission-aware RAG indexing.

Who Should Attend?

  • Knowledge management, quality and documentation leads
  • Product and data teams maintaining internal RAG and AI assistants
  • Legal, compliance and regulatory affairs units tracking policy changes
  • Customer support and IT helpdesk knowledge-base managers

Key Takeaways

  • Detect new or updated documents and catalogue them with summaries, tags and review dates
  • Turn resolved support tickets and project post-mortems into draft knowledge-base articles
  • Compare document versions automatically and notify affected teams of policy changes
  • Build a clean ingestion, chunking and ACL-tagging pipeline for enterprise RAG indexes
  • Set up governance checks that flag stale, orphaned or conflicting documents

Curriculum

Enterprise Knowledge Lifecycle and Source Connectors
  • Listening for changes across SharePoint, Confluence, Notion, Drive and DMS repositories
  • Defining a single source of truth and a standard metadata schema
Automated Summarisation, Tagging and Version Diffs
  • Generating summaries, department tags and key entities on document upload
  • Comparing policy revisions to produce 'what changed and who is impacted' alerts
From Operations to Knowledge Base: Living Documentation
  • Drafting new KB articles from resolved tickets and recurring questions
  • One-click subject-matter-expert approval and publishing
Ingestion Pipelines for RAG and Enterprise Search
  • Document cleaning, semantic chunking and incremental vector index updates
  • Purging superseded versions and preserving document access-control (ACL) tags
Regulatory Watch and Knowledge Hygiene
  • Monitoring external regulatory feeds and routing impact summaries to compliance
  • Automated nudges to document owners for stale or conflicting articles

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