White-label AI Act e-learning
White-label AI Act e-learning: start with a defined Partner Proof
White-label AI Act e-learning gives training providers their own academy environment within an agreed brand and delivery model. LearnWize supplies role-based content, assessment, certificate verification, and organisational reporting; co-branding and SCORM 1.2 are alternatives. Legal currency remains an ongoing maintenance process, so scope, branding, responsibilities, and update arrangements should be agreed explicitly before the pilot.
Your brand
Role-based tracks
Legal maintenance
Paid Partner Proof
Partner proposition
LearnWize Article 4
1
Your audience2
Role-based content3
Co-brand or white-label4
SCORM 1.25
Assessment6
Certificate7
Reporting8
Evidence dossierArticle 4
Building AI Act content yourself is expensive and goes stale fast.
Many training providers and consultancies get EU AI Act questions from clients but have no legal e-learning on the shelf. Building it yourself means engaging lawyers, developing didactics and then tracking every legislative change. Buying from a generic provider means someone else's brand inside your academy and content that does not match your clients' roles.
There is no separate fine attached to Article 4. Regulation (EU) 2026/1744 was published on 24 July 2026 and has applied since 27 July 2026. Article 4 now requires providers and deployers to take measures that support the development of AI literacy. It does not prescribe a guaranteed individual outcome.
Keeping legal content current yourself costs lawyers, development time and review rounds that eat your margin.
Generic courses do not match the roles and risks inside your client organisations.
Without progress tracking, testing and certificates, your client has no evidence to show Legal or management.
Evidence
What you deliver under your own brand
Your brand and identity
The learning environment runs in your colours, with your logo and tone of voice. Learners see your brand; the legal layer runs invisibly in the background.
Role-based tracks
Separate learning paths for HR, management, IT, legal, marketing and operational roles, tied to the risks each role actually runs in practice.
Legal maintenance
The content is based on official EU sources and updated under agreed arrangements. Scope, responsibilities, and update arrangements are agreed before the pilot.
Evidence and reporting
The certificate confirms completion; time spent and assessment results belong to the organisational evidence records.
Teams
Who this works for
Training providers with their own academy
For providers who want to add AI Act training to their catalogue. You bring the network and possibly the accreditation; the legal content and the evidence underneath arrive ready to use.
Consultancies and advisory firms
For firms that advise clients on AI and governance and want to extend that advice with training under their own brand, as a natural extension of their services.
Industry bodies and professional associations
For associations that want to offer members an AI literacy programme matched to the roles, tools and risks in their sector.
From proof to scale
1
Demo
Review the content, evidence layer, and delivery models together.
2
Proof
Validate one defined learning path in the EUR 2,950 Partner Proof, fully credited at launch.
3
Deliver
Choose co-brand, white-label academy, or SCORM 1.2 for your LMS.
4
Scale
Add audiences and track completion, assessment, and evidence centrally.
Continue your partner route
Compare audiences, delivery models, and evidence routes for your own training offer.
AI Act module for training providers
AI Act module for training providers
Want to add an AI Act or AI literacy line to your training catalogue? Three delivery models (co-brand, white-label, SCORM 1.2) with evidence per participant.
AI Act content for your catalog
EU AI Act content for learning platforms and LMS
Add role-based Dutch EU AI Act content to your LMS: SCORM 1.2, based on official EU sources, with reporting dependent on your platform implementation.
CPD points and AI training
AI Act training and CPD points: how it works
Does AI training count toward your CPD points? Your professional body decides. Learn how points schemes work and what evidence AI Act training leaves you with.
AI literacy e-learning
AI literacy e-learning
AI literacy e-learning for organizations, with role-based modules, testing, certificates, training records, and Article 4 evidence.
Article 4 evidence dossier
Article 4 evidence dossier
Build an Article 4 evidence dossier for AI literacy with role matrix, learning paths, scenario results, certificates, and management reporting.
Background
How white-label AI Act e-learning works
Demand for AI Act training comes from across the market. Article 4 of the EU AI Act has applied since 2 February 2025 to organisations that deploy AI. There is no separate fine attached to Article 4. Regulation (EU) 2026/1744 was published on 24 July 2026 and has applied since 27 July 2026. Article 4 now requires providers and deployers to take measures that support the development of AI literacy. It does not prescribe a guaranteed individual outcome. At the same time, the transparency obligations of Article 50 take effect on 2 August 2026, and Regulation (EU) 2026/1744 moves most standalone high-risk obligations under Annex III to 2 December 2027. For training providers and consultancies this means a long-running, recurring training need at their clients, not a one-off hype.
In many client organisations, multiple roles already use AI. HR uses AI in recruitment and selection, marketing generates content with generative tools, finance analyses data with AI features inside existing software, and managers make decisions based on AI output. Each role runs different risks and needs different knowledge: a recruiter needs to understand that AI-driven selection falls under the high-risk category of Annex III, while a marketer needs to know when AI content must be labelled under Article 50. Role-based tracks therefore fit better than a generic course, and they are also easier for a provider to sell as tailored offerings per client group.
Evidence means more than an attendance list. Organisational records show the assigned track, progress, assessment result, and certificate status per learner. The certificate confirms completion. Selected evidence changes and exports form an append-only SHA-256 chain, making later changes visible. This gives business clients traceable substantiation without suggesting that Article 4 prescribes one evidence format.
There are three delivery models. With co-brand, the provider's brand sits alongside the content partner's. The content is based on official EU sources and updated under agreed arrangements; scope, responsibilities, and update arrangements are agreed in advance. With SCORM delivery, the content runs inside the provider's or client's own LMS: SCORM 1.2, tested end-to-end in Moodle; behaviour in other LMSs depends on their SCORM 1.2 implementation. Agreements on client ownership and learner data are recorded up front, and a paid Partner Proof is the usual first step.
Official sources
Check the legal basis
For legal status and wording, we refer to primary official sources. Check both the applicable base text and Regulation (EU) 2026/1744, plus any later amendments.
EU AI Act, Regulation (EU) 2024/1689
The official original base text of the EU AI Act. For the current Article 4 wording and timelines, read it together with Regulation (EU) 2026/1744.
European Parliament Legislative Observatory, 2025/0359(COD)
The official procedure file for the completed Digital Omnibus on AI legislative procedure.
Regulation (EU) 2026/1744, Digital Omnibus on AI
The official amending regulation in force, including the new Article 4 wording and revised AI Act timelines.
Frequently asked questions
Frequently asked questions for training providers and learning platforms
Can I offer AI Act e-learning fully under my own brand?
Within an agreed scope. Logo, colours, and tone of voice can be configured in the academy. Removing every LearnWize reference, including certificate and registry branding, is not a standard promise and is confirmed technically during the pilot. Co-branding is the alternative when both brands may remain visible.
What is the difference between white-label, co-brand and SCORM delivery?
White-label uses an agreed brand layer; co-branding shows both brands. With SCORM 1.2, the content runs in your LMS and is tested end to end in Moodle. Certificate, registry, and reporting scope are confirmed in the Partner Proof before rollout.
Who keeps the content up to date when the law changes?
The content is based on official EU sources and updated under agreed arrangements. The AI Act currently in force and adopted amendments are treated as separate legal states. Scope, responsibilities, and update arrangements are agreed before the pilot.
Do the courses count towards my participants' CPD points?
That depends on the rules of the professional body and on your status as a training provider. The certificate confirms completion; time spent and assessment results belong to the organisational evidence records. Often the provider partner brings the accreditation and the content partner supplies the material and the evidence underneath.
Will the SCORM version work in our LMS?
The modules are delivered as SCORM 1.2 and have been tested end-to-end in Moodle. Most LMSs support SCORM 1.2, but behaviour depends on their implementation. The technical validation in the Partner Proof is designed for that.
Who owns the clients and the learner data?
Your clients remain your clients. The partner agreement records that the client relationship sits with the provider, where learner data is stored, who can access it and how export works. The data needed for evidence, such as progress and test results, stays available for reporting to your client.
Delivery models
One content layer, three ways to deliver
LearnWize provides role-based AI Act content with assessment and evidence. Training providers and learning platforms can start small through co-brand, launch their own academy, or place the modules in an existing LMS through SCORM 1.2.