use case implementation page

AI Tools for LMS Content Migration and Course Refresh

Most LMS catalogs contain stale assets. AI can accelerate migration and modernization without rewriting every module from scratch. Use this page to align stakeholder goals, pilot the right tools, and operationalize delivery.

Buyer checklist before vendor shortlist

  • Keep the pilot scope narrow: one workflow and one accountable owner.
  • Score options with four criteria: workflow-fit, governance, localization, implementation difficulty.
  • Use the same source asset and reviewer workflow across all options.
  • Record reviewer effort and update turnaround before final ranking.
  • Use the editorial methodology as your scoring standard.

Recommended tools to evaluate

AI VideoPaid

Synthesia

AI avatar videos for corporate training and communications.

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Notion AI

AI writing assistant embedded in Notion workspace.

AI WritingPaid

Jasper

AI content platform for marketing copy, blogs, and brand voice.

AI WritingFreemium

Copy.ai

AI copywriting tool for marketing, sales, and social content.

AI VideoFreemium

Runway

AI video generation and editing platform with motion brush and Gen-3.

AI VoiceFreemium

ElevenLabs

AI voice synthesis with realistic, emotive text-to-speech.

LMS Modernization Sprint

  1. Audit legacy courses by usage, risk, and staleness.
  2. Rewrite outdated modules with AI while preserving controls.
  3. Standardize templates and media for modern UX.
  4. Re-publish in phases and retire duplicated legacy assets.

Example: A healthcare L&D team refreshed a 120-course catalog by prioritizing high-compliance modules first.

Implementation checklist for L&D teams

  • Define baseline KPIs before tool trials (cycle time, completion, quality score, or ramp speed).
  • Assign one accountable owner for prompts, templates, and governance approvals.
  • Document review standards so AI-assisted content stays consistent and audit-safe.
  • Link every module to a business workflow, not just a content topic.
  • Plan monthly refresh cycles to avoid stale training assets.

Common implementation pitfalls

  • Running pilots without a baseline, then claiming gains without evidence.
  • Splitting ownership across too many stakeholders and slowing approvals.
  • Scaling output before QA standards and version controls are stable.

Internal planning links

Related planning routes

FAQ

Should we migrate everything?

No. Retire low-value content and refresh only priority assets first.

How do we control quality during migration?

Use a fixed rubric for accuracy, readability, and learner actionability.

How do we keep quality high while scaling output?

Use standard templates, assign clear approvers, and require a lightweight QA pass before each publish cycle.