The EU AI Act (Regulation 2024/1689) is the world's first comprehensive AI regulation, and it applies to every company that develops, supplies or operates AI systems – even if you only integrate an AI model via an API. The regulation entered into force on 1 August 2024 and has been phasing into application since February 2025. European Commission: Regulatory Framework for AI On 2 August 2026 the core transparency requirements (Art. 50) become fully applicable. The obligations for standalone high-risk AI systems under Annex III (Art. 6(2)) were originally also due to apply from 2 August 2026 – but under the EU's Digital Omnibus (adopted by the European Parliament on 16 June 2026, with formal adoption by the Council and publication in the Official Journal expected in summer 2026) that start date is being deferred to 2 December 2027 (high-risk systems embedded in regulated products under Annex I: 2 August 2028). Council of the EU: Council and Parliament agree to simplify and streamline AI rules For SaaS companies across the DACH region the message is clear: if your platform has AI features – chatbots, recommendation algorithms, content generation – you need to act now.
The risk-classification system
The AI Act sorts AI systems into four risk tiers – and the obligations rise with the risk: EU AI Act: High-Level Summary
- Unacceptable risk (banned): social scoring systems, manipulative AI, biometric categorization based on sensitive characteristics – banned since February 2025
- High risk: AI in credit scoring, recruitment, critical infrastructure, law enforcement – strict compliance obligations from 2 December 2027 (deferred from the original 2 August 2026 under the Digital Omnibus)
- Limited risk: AI systems with the potential to manipulate or deceive (chatbots, deepfakes) – transparency obligations from 2 August 2026
- Minimal risk: spam filters, AI-assisted games – no specific obligations
Provider vs. deployer: which role does your SaaS business play?
The AI Act draws a distinction between providers and deployers. Your role determines your obligations: MinnaLearn: Deployer or provider under the AI Act?
You are a provider if you:
- Develop an AI system yourself and place it on the market under your own name
- Substantially modify an existing AI model (fine-tuning, change of purpose, integration into a larger system)
- Distribute a third-party model under your own branding
You are a deployer if you:
- Integrate a third party's AI system into your platform (e.g. the OpenAI API, the Claude API)
- Use a SaaS tool with AI features without modifying the model yourself
- Run AI-assisted recommendations or automations inside your product
Deployer obligations for high-risk systems (Art. 26)
The majority of mid-market SaaS companies are deployers. Article 26 defines their obligations precisely: EU AI Act: Article 26 – Deployer Obligations
- Use in line with instructions: operate high-risk systems only in accordance with the instructions for use provided by the provider
- Human oversight: assign natural persons with the necessary competence, training and authority to carry out the oversight – and the oversight has to be real, not merely a formality
- Relevance of input data: ensure that input data is relevant and sufficiently representative for the intended purpose
- Monitoring duty: actively monitor the operation of the AI system and, on detecting any risk, immediately inform the provider and the authorities
- Log retention: retain automatically generated logs for at least 6 months
- Duty to inform: people affected by decisions made by a high-risk AI system must be informed accordingly
Fundamental rights impact assessment (Art. 27)
Deployers of high-risk AI systems in the public sector – as well as private companies using AI for credit scoring or insurance risk assessment – must carry out a Fundamental Rights Impact Assessment (FRIA) before putting the system into use. EU AI Act: Article 27 – FRIA This covers:
- A description of the deployment processes and the intended purpose
- Identification of the groups of people affected
- An assessment of specific risks of harm to fundamental rights
- Documentation of the human-oversight measures
- An action plan for the event that a risk materializes
- Reporting duty: the results of the FRIA must be submitted to the competent market surveillance authority
Transparency obligations for all AI systems (Art. 50)
Even if your AI is not a high-risk system, the transparency obligations under Article 50 apply from 2 August 2026 to almost every AI system, and they are not affected by the Digital Omnibus deferral: EU AI Act: Article 50 – Transparency Obligations
- Chatbots: users must be able to recognize that they are interacting with an AI system – unless this is obvious
- Synthetic content: AI-generated text, images, audio and video must be marked as AI-generated in a machine-readable form
- Deepfakes: deployers must disclose that content has been artificially generated or manipulated
- Emotion recognition / biometric categorization: the people affected must be informed that the technology is in use
In December 2025 the European Commission, acting through the AI Office, published a first draft of the Code of Practice on labeling AI-generated content. European Commission: Code of Practice – AI-Generated Content
| Kriterium | Provider obligations | Deployer obligations |
|---|---|---|
| Conformity assessment | Must be completed before market launch | Not required |
| Technical documentation | Comprehensive – architecture, data, testing | Use in line with the provider's documentation |
| Quality management system | Mandatory | Not required |
| Human oversight | The system must enable oversight | Oversight must be actively carried out |
| Log retention | The system must generate logs | Retain logs for at least 6 months |
| FRIA | Not required | Mandatory for certain sectors |
| Transparency (Art. 50) | The system must enable labeling | Duty to label content for users |
Fines: tiered by severity
The AI Act provides for a three-tier system of fines: EU AI Act: Article 99 – Penalties
- Tier 1 (prohibited AI): up to €35M or 7% of global annual turnover
- Tier 2 (other violations): up to €15M or 3% of global annual turnover
- Tier 3 (incorrect information): up to €7.5M or 1% of global annual turnover
For SMEs and startups a proportionality rule applies: the fine is capped at whichever of the two amounts is lower (Art. 99(6) AI Act: "whichever thereof is lower"). For illustration: a startup with €500,000 in annual turnover risks no more than €35,000 for a Tier 1 violation (our own calculation: 7% of €500,000) rather than €35M. EU AI Act Service Desk: Article 99 – Penalties
Vibe coding and the AI Act: a twofold risk
Vibe-coded platforms face a twofold compliance problem – for a detailed analysis of the risks and the right way to handle AI-generated code, see our article Vibe Coding Done Right: LegalNodes: EU AI Act 2026 – Compliance Requirements
- AI-generated code: the production code itself was written by AI systems – with no documentation of the AI's involvement, no quality assurance and no conformity assessment
- AI features in the product: chatbots, recommendation algorithms or content generation wired in through APIs – often with no transparency labeling, log retention or human oversight
When a startup builds its entire platform with AI tools and integrates AI features into the product, the result is a compliance gap that neither automated tests nor overlay solutions can close. The AI Act's documentation obligations call for a traceable architecture – not specifications reconstructed after the fact.
How AnvilStack builds AI compliance into SaaS platforms
We use AI tools for fast prototyping – but every AI integration is assessed, documented and implemented for compliance by engineers:
- Risk classification: systematic assessment of each AI component against the AI Act's risk-classification system – including a GDPR-compliant data-processor review for every AI API you integrate
- Transparency by design: chatbot labeling, AI-content marking and user notification as an architectural decision
- Log infrastructure: automatic log generation and retention for all AI interactions, hosted on Hetzner (DE)
- Human-oversight architecture: interfaces for human review, correction and escalation – not as a checkbox, but as a workflow
- Documentation: technical documentation of the AI components, data flows and decision processes – ready for regulatory review. Our security hardening service implements the technical safeguards
- EU-sovereign infrastructure: all AI logs and user data on Hetzner (Germany) – no US jurisdiction, no CLOUD Act exposure
In a free initial consultation we assess your SaaS platform for AI Act relevance – from risk classification through to transparency labeling. For a fixed price of €36,000 we migrate and harden your platform end to end: in good time for the transparency obligations on 2 August 2026 and well prepared for the high-risk deadline on 2 December 2027.
Frequently asked questions
Does the EU AI Act apply to my SaaS business?
Am I a provider or a deployer under the AI Act?
What penalties apply for AI Act violations?
When do the AI Act obligations take effect?
Do I have to label chatbots on my platform?
What does the AI Act mean for vibe-coded platforms?
Sources
- European Commission: Regulatory Framework for AI
- EU AI Act: High-Level Summary
- EU AI Act: Article 26 – Deployer Obligations
- EU AI Act: Article 27 – FRIA
- EU AI Act: Article 50 – Transparency Obligations
- EU AI Act: Article 99 – Penalties
- EU AI Act Service Desk: Article 99 – Penalties
- Council of the EU: Council and Parliament agree to simplify and streamline AI rules
- MinnaLearn: Deployer or provider under the AI Act?
- EyreACT: AI Provider under the EU AI Act
- GDPR Local: AI Risk Classification Guide
- Nemko: FRIA under the EU AI Act
- European Commission: Code of Practice – AI-Generated Content
- LegalNodes: EU AI Act 2026 – Compliance Requirements
- AiActo: The AI Act and SMEs – Compliance by 2026