SCORM Intelligence breaks open SCORM packages, extracts individual lessons, and enables microlesson-level discovery. Company-specific knowledge AI can't generate, now accessible.
BEFORE
5,000 SCORM Packages
AFTER
Mircolesson-level discovery
Every Organisation Has Learning Gunk
Large enterprises typically manage around 5,000 SCORM packages. Most have little to no metadata. They're poorly named, often duplicative, sometimes obsolete.
Your organisation dedicates 2.5 full-time employees - £250,000 annually - just to managing this gunk.
Meanwhile, your most valuable proprietary content sits buried and unused. Your learners can't find it. Your L&D team recreates modules that already exist.
5,000
SCORM packages per typical enterprise
2.5 FTE
Full-time employees managing them
£250k
Annual cost to manage SCORM
42%
Of L&D spending on content management
From Gunk to Intelligence in Four Steps
Upload Your SCORM Packages
We Break Them
Open
Automatic Skills Tagging
Microlesson-Level Discovery
The ROI of Fixing Your SCORM Problem
Current State
£250k
Annual cost managing SCORM. 2.5 FTE.
With SCORM Intelligence
5x-10x
Cost savings. Immediate, measurable ROI.
Why SCORM Intelligence?
Upload Your SCORM Packages
Turnkey RAG Solution
Mircolesson-Level Personalisation
Manual Curations vs SCORM Intelligence
Category
Manual Curation
SCORM Intelligence
Time Required
15 minutes per package
5,000 packages = 1,250 hours
31 weeks full-time
10,000 packages in minutes
Time Required
Depends on curator knowledge
Inconsistent across team
Human error and fatigue
Consistent, objective analysis
Skills-based from ontology
No fatigue or drift
Cost
£100,000+ in staff time
Plus opportunity cost
Ongoing maintenance burden
5x-10x cost saving
Automated updates
Immediate ROI
Metadata Requirements
Needs complete information
Manual review required
Bottleneck at scale
Just 25 words needed
Works with terrible data
No bottlenecks
AI Integration
Manual implementation
Additional development
Turnkey RAG solution
API-ready for chatbots
See how SCORM Intelligence can extract value from your SCORM library in minutes, not months.