SCORM course vs role-based AI literacy program: which fits Article 4 evidence?

Procurement teams often ask for SCORM. That makes sense. Many organizations already have an LMS, and SCORM packages are a familiar way to distribute training at scale.

But SCORM is a delivery format. It is not an AI literacy operating model. If you treat SCORM support as the main buying criterion, you may solve distribution while leaving Article 4 evidence weak.

What SCORM is good for

SCORM is useful when the organization needs training content to live inside an existing LMS. It can support:

• course launch from the LMS;
• completion tracking;
• score reporting;
• a consistent learner experience;
• centralized assignment rules.

For simple mandatory training, that may be enough. For AI literacy under the EU AI Act, it is usually only part of the answer.

What SCORM does not solve

SCORM does not automatically tell you whether the training was sufficient for a specific AI workflow. It does not create a role matrix. It does not decide whether recruiters, procurement, managers and legal teams need different scenarios. It does not maintain a living map of systems, risks and refreshers.

That means an organization can have perfect SCORM completion and still be unable to answer:

• which AI systems were covered;
• which roles need deeper competence;
• who passed realistic scenario assessments;
• which certificates relate to which AI use cases;
• when training must be refreshed after a tool change.

Those are Article 4 evidence questions, not file-format questions.

What role-based AI literacy adds

A role-based AI literacy program starts with the work. Who uses AI? Which systems do they touch? What can go wrong? What should they understand? How do you prove it?

That structure should produce:

• role paths;
• system-risk mapping;
• realistic scenarios;
• assessment evidence;
• certificates or proof objects;
• team coverage reporting;