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

SCORM can be one delivery route inside that program. It should not define the whole program.

A practical procurement question

Instead of asking only "Do you support SCORM?", ask:

"If we import your content into our LMS, how do we keep the link between role, AI system, risk, assessment and evidence?"

That question separates content vendors from evidence-grade partners.

Some vendors can only send a package. Others can support reporting, exports, role mapping and governance evidence around the package. The second group is more useful for Article 4.

When SCORM is enough

SCORM can be enough when the goal is a broad foundation module for all employees. For example: introduction to AI, hallucinations, personal data, prompt hygiene and escalation basics.

It becomes weak when the organization needs to show role competence for higher-risk contexts: recruitment, worker management, credit scoring, healthcare support, public-sector decisions, legal review or procurement of AI systems.

When a platform is needed

A platform becomes more useful when you need ongoing evidence:

• different roles;
• different sectors;
• practical scenario assessments;
• dashboards for L&D and compliance;
• certificate verification;
• refreshers after policy or system changes;
• exportable evidence packs.

The more regulated the use case, the more important this becomes.

Where LearnWize fits

LearnWize is built as a role-based learning and evidence layer. It can support AI literacy rollouts where completion data alone is not enough. Use the L&D route to compare platform rollout against ordinary LMS delivery, or use the procurement route if your main question is security, documentation and evidence export.

For teams already using an LMS, LearnWize should be evaluated on how it strengthens the evidence chain, not only on whether it can be reduced to a package.

Final note

SCORM answers "how do we distribute training?" Article 4 evidence answers "how do we know people are sufficiently AI literate for their actual work?" Both questions matter. Do not let the first replace the second.