AI Act — Compliance and AI Literacy
Practical implementation of AI Act obligations: the AI Literacy requirement covering all staff since February 2025, AI system risk classification, and preparation for high-risk system requirements taking effect August 2026.
AI Literacy is a legal obligation, not an optional workshop
Since February 2025, the AI Act requires every organization using AI systems to ensure an adequate level of AI literacy among the staff operating those systems. This is not a one-off introductory session — it is a documented programme tailored to roles that must withstand market surveillance scrutiny. This training helps you design that programme from the ground up, instead of buying a generic template that doesn’t match the AI tools actually used in your company.
Risk classification as the starting point for everything else
Before an organization can plan any compliance activity, it needs to know which of its AI systems fall under which risk tier. We walk through a step-by-step classification method using participants’ real use cases — from customer-service chatbots to systems supporting recruitment or credit decisions — so that after the training the organization has a ready AI system inventory with risk tiers assigned.
August 2026 is closer than it looks
High-risk system requirements — a risk management system, training data quality, technical documentation, human oversight mechanisms — take time to implement. The training ends with a concrete readiness plan with buffer time before the deadline, integrated with existing quality and information security management systems (ISO 27001, GDPR).
Benefits
- Build an AI Literacy programme that satisfies the Article 4 AI Act obligation in force since February 2025
- Correctly classify the AI systems used in your organization under the four AI Act risk tiers
- Prepare a compliance plan for high-risk systems ahead of the August 2026 deadline
- Define roles and responsibilities across provider, deployer, and end user of an AI system
Who is this training for?
Prerequisites
- Basic familiarity with the AI tools used in your organization (no technical background required)
Training program
AI Act structure and risk classification
- The four risk tiers: unacceptable, high, limited, minimal
- A practical method for classifying your own AI systems and use cases
- Roles across the AI Act value chain: provider, deployer, importer, distributor
- Timeline of obligations coming into force (02.2025, 08.2025, 08.2026, 08.2027)
The AI Literacy obligation (Article 4)
- Scope: who in the organization must be trained and to what level of detail
- Building a training programme tailored to roles (management, IT, end users)
- Documenting compliance for audit and market surveillance purposes
- Linking AI Literacy to existing information security policies
High-risk systems — preparing for August 2026
- The catalogue of high-risk use cases (HR/recruitment, credit scoring, healthcare, critical infrastructure, and more)
- Requirements for high-risk systems: risk management system, data quality, technical documentation, human oversight
- Conformity assessment and registration in the EU high-risk systems database
- Building an organizational readiness plan with buffer time before the deadline
Operational compliance management
- Integrating the AI Act with existing risk management systems (ISO 27001, GDPR)
- Building an AI system inventory for the organization
- A procedure for assessing new AI tools before deployment (AI impact assessment)
- Penalties and sanctions for non-compliance — scale and enforcement mechanism
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who in the organization must complete AI Literacy training?
The Article 4 AI Act obligation covers staff and other persons dealing with the operation and use of AI systems on the organization's behalf. In practice, the scope and depth of training differs by role: management needs to understand accountability and risk, IT and product owners need system classification skills, and end users need to know how to use AI tools safely in daily work. In this training we help you design that differentiated programme.
How does this training differ from AI Governance and EU AI Act in our catalog?
That existing training focuses on AI system risk management from a governance perspective. This training focuses on two specific, deadline-driven operational obligations: rolling out an AI Literacy programme (in force since February 2025) and preparing for high-risk system requirements (August 2026) — with a ready-to-use action timeline, not just a conceptual framework.
How do we classify whether our AI system is high-risk?
The AI Act sets out a closed catalogue of high-risk use cases in Annex III (including recruitment and workforce management, creditworthiness assessment, education, healthcare and critical infrastructure systems) plus systems acting as safety components of regulated products. In the workshop we walk through a step-by-step classification method using participants' real use cases.
What if we use off-the-shelf AI tools from third-party vendors (e.g. Microsoft Copilot, ChatGPT Enterprise)?
An organization using an off-the-shelf AI tool is usually a deployer, not a provider — a narrower set of obligations than the system's manufacturer, but the organization is still responsible for human oversight, proper use in line with the provider's instructions, and — for high-risk systems — monitoring performance. We cover the exact split of responsibilities between provider and deployer.
What penalties apply for AI Act non-compliance?
Penalties scale with the severity of the breach: up to EUR 35 million or 7% of global annual turnover for prohibited practices, up to EUR 15 million or 3% of turnover for other obligation breaches (including high-risk systems), and up to EUR 7.5 million or 1% of turnover for providing incorrect information to a supervisory authority. Smaller entities (SMEs, startups) benefit from lower percentage caps.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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