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Most AI literacy vendors sound convincing in a demo. They show a clean learning portal, a certificate, a few AI examples and a dashboard with completion rates. That is not enough for a serious Article 4 rollout.
Article 4 of the EU AI Act asks organizations to take measures to ensure a sufficient level of AI literacy, taking into account technical knowledge, experience, education, training and the context in which AI systems are used. A vendor comparison should therefore test whether the vendor can support that context, not whether the product has a nice course catalogue.
Use these seven checks before choosing an AI literacy training vendor.
Ask the vendor to show the full evidence chain:
If the vendor can only show "completed course" and a PDF certificate, the evidence is thin. A stronger platform links the person to the role and the role to the AI context.
Generic AI awareness is useful as a baseline, but it does not prove sufficient literacy for every role. A recruiter, procurement officer, manager and compliance lead need different examples.
Ask for a sample path for your highest-risk role. For HR, that might be recruiter shortlist review. For procurement, it might be vendor due diligence. For managers, it might be approving AI use cases and escalation.
If the vendor cannot show role-specific scenarios, you are likely buying generic training with compliance language attached.
Completion is not competence. A useful vendor comparison should inspect how learning is tested.
Good signs:
Start with the 2-minute scan and see where your AI literacy is not yet provable.
Weak sign: a multiple-choice quiz that only asks definitions.
Article 4 becomes practical when training is connected to the AI systems people actually use. Ask whether the vendor can map learning paths to systems such as recruitment tools, chatbots, copilots, analytics platforms, customer service AI or document review tools.
The best question is simple: "Can we show which employees are trained for which AI workflow?"
If the answer is no, the platform may be useful for awareness but weak for evidence.
AI literacy expires faster than classic compliance training. Tools change, policies change, and regulatory guidance changes. A vendor should have a documented content update process.
Ask:
Without a refresh cadence, the program becomes a historical record instead of a living control.
Your procurement and legal teams will ask where data is hosted, which subprocessors are used, how access is controlled and whether a DPA is available.
Do not leave this to the last week of procurement. Ask early for:
A vendor that cannot answer these questions cleanly will slow the rollout down.
The hardest part is not launching the first 20 users. It is rolling out to 200, 500 or 2,000 people without losing the evidence chain.
Ask for the rollout model. How are roles imported? How are departments grouped? What does management see? Can L&D spot gaps? Can compliance export evidence? Can procurement see whether external users or contractors are included?
The dashboard should show more than completion. It should show coverage, gaps, assessment outcomes and refresh needs.
Score each vendor from 1 to 5 on these checks. A serious evidence-grade vendor should score high on evidence chain, role fit, assessment quality and reporting. A vendor that scores high only on course design may still be useful, but it should not be your Article 4 evidence backbone.
LearnWize is built for role-based AI literacy evidence: learning paths, scenario practice, assessment results, certificates and team reporting. Start with the AI Literacy Readiness Assessment if you want to compare your current training approach against an evidence-grade model.
For HR and recruitment teams, use the HR sector path. For procurement teams, the procurement route explains what security, documentation and rollout evidence should be available.
Vendor comparison is not about finding the prettiest learning portal. It is about finding the platform that can survive the first serious question from management, procurement, a client or a regulator: show us who is competent for which AI work, and how you know.