AI, No-Code & Automation Resources for Businesses

A high-risk AI system is one that Article 6 of Regulation EU 2024/1689 places under the AI Act's heaviest obligations. It opens two classification routes: Annex I products and Annex III use cases, whose obligations apply from 2 December 2027.

Since 2 February 2025, eight uses of artificial intelligence have been outright banned across the European Union. Article 5 of Regulation EU 2024/1689 classifies them as unacceptable risk: there is no compliance path, only stopping the use. Here is the exact list and what it means in practice for a small business or a nonprofit.

Since 27 July 2026, Article 4 of the AI Act no longer requires companies to reach a specific level of AI literacy. The Digital Omnibus replaced that binding obligation with simple encouragement. Training your teams is still strongly advised, and it remains required for high-risk uses. Here is what changed, what remains, and what you should actually do.

The AI Act timeline runs from its entry into force on 1 August 2024 through August 2028, with obligations applying in stages rather than all at once. Since the "Digital Omnibus" package was given final approval by the Council of the EU on 29 June 2026, several deadlines have shifted: rules for standalone high-risk systems are now pushed back to 2 December 2027. Here are all the binding dates, what applies at each one, and what changed.

If you use an AI system in your professional activity, even a simple chatbot, the AI Act applies to you. The European regulation on artificial intelligence covers any organisation, business, nonprofit or public body that supplies, imports, distributes or deploys AI within the European Union. So the real question is not whether you are affected, but in what capacity and with which obligations.

The EU AI Act (Regulation 2024/1689) applies to your SME or nonprofit as soon as you use an AI tool, even a simple ChatGPT subscription. Since February 2025 you must train your teams; on 2 August 2026 the transparency obligations and the penalty regime take effect.

A 2 day operational AI training program (14 hours) teaches your teams to produce real work with generative AI: day 1 covers method and prompt engineering, day 2 focuses on automation and business use cases.

A one-day AI awareness session follows a simple arc: the morning covers the basics (what generative AI is, its uses, its limits), and the afternoon shifts to hands-on practice on your own business cases. By the end of the day, each participant leaves with habits they can use the next morning and a small library of ready-to-use prompts.

A catalog AI training course follows a standard program open to several companies; a custom course is built around your own use cases and delivered to your teams only. The right choice comes down to three factors: how many people you need to train, your AI maturity, and the level of proof you need, especially under Article 4 of the AI Act.