Reg (EU) 2024/1689Generate dossier — €249

Your e-learning platform uses AI to evaluate student performance. Annex III, Section 3(b) of Regulation (EU) 2024/1689 classifies AI systems that evaluate learning outcomes as high-risk. The documentation deadline is 2 August 2026.

Annex III, Section 3(b) covers AI systems intended to be used for evaluating learning outcomes, including when those outcomes are used to steer the learning process. That is your assessment engine. Not the AI literacy module. Not the chatbot that answers student questions. The component that grades, scores, ranks or determines progression. Article 11 requires its own technical documentation per Annex IV. AICheck generates the 12 PDFs in 45 minutes. €249. Browser-side — no student data uploaded.

Generate Annex IV dossier — €249Free: check if your system is high-risk

€249 one-time payment per system · 12 PDF documents in ZIP · 45 minutes · 100% in your browser

Regulation (EU) 2024/1689 · Article 11 + Annex IV · 12 documents · 100% browser-side

AI assessment tools and the AI Act: the numbers

Annex III, Section 3(b) classifies AI systems that evaluate learning outcomes as high-risk — including when those outcomes steer the learning process. Nine mandatory sections in the Annex IV documentation.

The deadline is 2 August 2026. Full obligations for Annex III high-risk systems enter into force on that date under Article 113 of the Regulation.

Section 3(b)
Annex III classification. AI systems that evaluate learning outcomes.
9 sections
Annex IV structure. Each section mandatory for every high-risk system.
2 ago 2026
Annex III high-risk deadline

From assessment component to documented compliance

Five steps to document your e-learning assessment AI.

1
Identify your assessment component
Not every part of your platform is high-risk. Isolate the AI module that evaluates, grades or determines progression. That is the system to document.
2
Verify classification
Use the free AICheck checker to confirm it falls under Annex III, Section 3(b). 2 minutes.
3
Enter your system data
Architecture, training datasets, grading logic, bias testing, human review procedures. AICheck structures the input. 45 minutes.
4
Download 12 PDFs
Technical documentation dossier structured per Annex IV. ZIP file.
5
Keep it current
If you update the grading model, retrain on new data, or change the assessment methodology, update the documentation. Art. 11.1 requires it.
6
Review with legal
Have your legal team or compliance officer review the dossier against the Annex IV structure before submission.

Assessment tool documentation mistakes

ERROR COMÚN

"Our platform is an e-learning tool, not an AI system"

The platform may not be an AI system. The assessment component inside it may be. If a module uses machine learning or statistical methods to evaluate student performance, that module is an AI system under Art. 3(1). The rest of the platform is not affected. Document the AI component, not the whole platform.

ERROR COMÚN

"Assessment results are only advisory — teachers make the final decision"

Annex III, Section 3(b) covers AI systems intended to evaluate learning outcomes. It does not require the system to make the final decision. If the AI produces a score, a ranking or a pass/fail recommendation that a teacher then reviews, the AI system is still evaluating. The human-in-the-loop does not remove the classification.

ERROR COMÚN

"We only sell to corporate training, not universities"

Annex III, Section 3 covers education and vocational training. Corporate training programmes that use AI to evaluate learning outcomes fall under Section 3(b). The classification is not limited to universities or schools. Any educational or vocational context where AI evaluates learning triggers the obligation.

What each ZIP contains: 12 documents

Each AICheck licence generates a ZIP with 12 PDF documents for one AI system. For 10 systems you need 10 licences and obtain 120 documents in total.

1

Risk Classification

Art. 6 + Anexo III.

2

Annex IV Technical Documentation

Art. 11 + Anexo IV.

3

EU Declaration of Conformity

Art. 47 + Anexo V.

4

Compliance Calendar

Art. 111.

5

Conformity Sheet

Executive summary.

6

Quality Management System (QMS)

Art. 17.

7

Deployer Instructions

Art. 13.

8

Evidence Checklist

Per Annex IV point.

9

Incident Template

Art. 73.

10

AI Literacy Programme

Art. 4.

11

Provider–Deployer Clauses

Chapter III.

12

Risk Committee Minutes

Art. 9.

Generated in your browser. No data leaves your device.

What you pay to document 10 systems

🧾 EDTECH COMPLIANCE CONSULTANCY AI ACT
€10,000–€30,000
4–8 months.
✓ AICHECK
€249
12 documents. 45 minutes.

Structured documentation vs. third-party audit

● CAPA 1

What AICheck does

Generates the 12-document Annex IV dossier per system. 45 minutes. €249. Provider obligation under Art. 11.

∅ CAPA 2

What AICheck does NOT do

Your platform may have multiple AI modules. Identify which ones evaluate learning outcomes (Section 3(b)), which ones monitor behaviour (Section 3(d)), and which ones are not high-risk. Document each high-risk component separately.

We document each system. You identify and classify the components.

Enforcement regime

Article 99 of Regulation (EU) 2024/1689.

🇪🇺
Non-compliance with prohibited practices
€35M / 7%

Art. 99.3. Up to €35 million or 7% of worldwide annual turnover, whichever is higher. For SMEs: the lower of the two.

🇪🇺
Non-compliance with high-risk obligations
€15M / 3%

Art. 99.4. Includes failure to produce technical documentation per Art. 11 and Annex IV.

🇪🇺
Supply of false or incomplete information
€7.5M / 1%

Art. 99.5.

Alternatives

AlternativeCostWhat you get
Big Four consultancy€10,000–€30,000Full audit + documentation. 4–8 months.
Document internally using Annex IVFree + team timeWeeks per system. Risk of incomplete sections.
Ignore the obligation€0 nowUp to €15M fine or 3% global turnover per system
AICheck × 10 systems€249120 documents, 1 week, no consultancy

Does your platform have multiple AI assessment modules?

Each AICheck licence documents one AI system. If your platform contains separate assessment engines for different subjects, courses or institutions, each engine needs its own Annex IV dossier. Write to us for a Volume Pack with discounted pricing.

Request Volume Pricing
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What AICheck guarantees and what it does not

AICheck generates a document structured under Article 11 and Annex IV of Regulation (EU) 2024/1689 based on the information you enter. The truthfulness, accuracy and completeness of that information is your responsibility as provider of the AI system.

We guarantee that the document structure follows Article 11 and Annex IV of Regulation (EU) 2024/1689 and that the legal references cited are correct as of the latest verification date. We do not guarantee that a specific document will be accepted by a market surveillance authority in a specific case, nor by a commercial buyer in a procurement process.

AICheck is not legal advice. For specific situations, consult a lawyer or specialised regulatory consultancy.

Frequently asked questions — E-learning assessment tools and the AI Act

Is an AI chatbot in my e-learning platform also high-risk?
Not under Section 3(b). A chatbot that answers student questions, provides study material or suggests resources is not evaluating learning outcomes. It may have transparency obligations under Art. 50 (the user must know they are interacting with AI), but it is not high-risk under Section 3. Only the assessment component that grades or scores is covered.
What if our assessment tool uses a third-party AI model?
The provider obligation under Art. 11 applies to whoever places the high-risk AI system on the EU market. If you integrate a third-party model into your assessment tool and sell the combined product, you are the provider. You must document the entire system, including how the third-party model is used.
Does adaptive learning count as evaluating learning outcomes?
If the adaptive learning system uses AI to determine a student's level, adjust difficulty or decide progression paths based on performance evaluation, that evaluation component falls under Annex III, Section 3(b). The adaptation itself is the consequence of evaluating learning outcomes. Document the AI module that performs the evaluation.
Our tool only generates practice quizzes — is that high-risk?
Generating quiz questions is not evaluating learning outcomes. If the AI generates questions but a human grades them, the AI is a content generation tool, not an assessment tool. However, if the AI also scores the answers and uses those scores to steer the learning path, the scoring component falls under Section 3(b).
Is this a subscription?
No. One-time payment. The licence includes 30 days of editing and 10 regenerations. The downloaded PDF is yours to keep.
Can I request a refund?
Under Article 16.m of Directive (EU) 2011/83 on consumer rights, by activating the licence you give express consent for the immediate generation of the digital content and waive the 14-day withdrawal period. Refunds are accepted only for verifiable reproducible technical failures.
What if the regulation changes?
If the regulation changes during the validity of your licence, you may regenerate the document with the updated version of the generator at no additional cost.
⚠️ Important notice: AICheck is a self-assessment documentation tool, not legal advice and not a third-party audit. The document under Article 11 and Annex IV of Regulation (EU) 2024/1689 is generated from your input data. You are responsible for the accuracy of the data you provide. AICheck does not replace a qualified professional assessment.

Your assessment tool evaluates learning outcomes. That makes it high-risk. Document it — 45 minutes, €249.

Regulation (EU) 2024/1689 does not wait. Each high-risk system needs 12 documents under Annex IV. AICheck generates them in 45 minutes per system, 100% in your browser, with no data leaving your device.

€249 one-time
12 professional documents · 45 minutes · No subscription · 100% in your browser
Generate Annex IV dossier — €249
✓ Last regulatory check: 28 April 2026 · No substantive changes detected · View history