Thousands of SCORM courses sit in your LMS — invisible to AI. SCORM AI Analyzer extracts skills, objectives, and metadata from every package and scores its AI readiness, so you can finally connect your catalog to modern intelligence platforms.
Every major L&D platform is racing to add AI — skills recommendations, intelligent search, adaptive learning paths. But they all hit the same wall: your existing course catalog is locked inside SCORM packages that AI cannot read.
Locked in
SCORM packages are opaque
AI systems need structured, tagged, queryable data. SCORM wraps course content in a proprietary runtime format that no AI tool can natively read or index.
$300–600
Per course to audit manually
Instructional designers or L&D consultants spend 3–4 hours per package extracting skills, objectives, and metadata by hand — at significant cost and delay.
Months delayed
AI projects stall at the catalog
Skills intelligence platforms, AI copilots, and recommendation engines all require clean metadata. Without it, your AI roadmap can't move forward.
The AI Readiness Scoring System
Every SCORM package receives a 0–100 score and one of three readiness tiers — giving you an instant, prioritized view of your catalog's AI health.
Well-documented, skills mapped, and indexable by AI systems. Ready for skills intelligence and personalization engines.
Core content is extractable but metadata is incomplete. Enrichment recommended before connecting to AI platforms.
No metadata, no tagged objectives, no AI-usable structure. Flagged for redesign or metadata injection before AI use.
From a single course audit to an enterprise-wide catalog transformation — SCORM AI Analyzer gives you the intelligence layer your AI initiatives require.
Extracts every layer of your package — manifest, organizations, SCO hierarchy, resources, and objectives — across both SCORM 1.2 and 2004 standards.
Every course gets a 0–100 readiness score and tier classification. Know instantly which courses are AI-ready and which need remediation.
LLM analysis infers skills, competencies, target audience, difficulty level, and learning objectives — even when the original course didn't tag them.
Upload and analyze hundreds of courses at once. Get aggregate reports across your full library, not just one package at a time.
Generate color-coded PDF reports formatted for L&D leadership and consulting deliverables — with scores, recommendations, and prioritization.
Role-based access control, admin panel, usage analytics, and full audit trails. Your content stays private and access-controlled.
A 500-course catalog audit costs $150,000–$300,000 in manual consulting hours. SCORM AI Analyzer completes the same analysis in hours — and delivers richer, AI-usable output that no manual process can match.
90%
Reduction in audit cost
Replace weeks of consultant hours with automated AI analysis at a fraction of the price.
Hours
Not months, to audit a catalog
Batch-process your entire SCORM library simultaneously. What used to take a quarter takes an afternoon.
Day 1
Value for your AI initiative
Skills data, learning objectives, and AI readiness scores are immediately actionable for LMS personalization and skills gap analysis.
Manual audit cost
$300–600
per SCORM package
Typical catalog size
500–5,000
SCORM packages
Manual total cost
$150K–$3M
in consultant time
From upload to AI-ready data in four automated steps. No configuration required.
Common questions from L&D leaders and procurement teams evaluating SCORM AI Analyzer.
Analyze your first SCORM package in under two minutes and see exactly where your catalog stands before your next AI initiative kicks off.