Build AI Capability: AI Literacy Framework
A regulatory requirement becomes strategic advantage when learning is tailored, targeted, and grounded in operational reality
AI Literacy is No Longer Optional
Under the EU Artificial Intelligence Act AI literacy is no longer optional — it became a legal requirement. Organizations developing or using AI systems must ensure that all staff dealing with the operation and use of AI systems has a sufficient level of AI literacy. This requirement applies broadly, across technical teams, decision-makers, operational staff and anyone who interacts with AI in a professional context.
Beyond compliance, AI literacy enables professionals to understand system behaviour, assess risks, and apply oversight mechanisms aligned with both technical standards and regulatory expectations.
We Start with What Makes Your Organisation Unique
At Wiimer, we believe AI literacy should be more than a box to tick. That’s why we we don’t offer generic training packages or one-size-fits-all solutions. Instead, our methodology is grounded in an in-depth analysis of each client’s operational context.
We engage collaboratively to map functional roles, deployed AI technologies, and relevant use cases across the organisation. This diagnostic phase enables us to identify competency gaps, surface AI-related risk vectors, and define targeted learning objectives aligned with existing workflows and governance structures.
Based on this structured assessment, a multidisciplinary team — combining academic rigour with industry-proven experience — designs a bespoke AI literacy program. The program is tailored to the specific needs of different audiences, whether executive leadership, technical staff, compliance professionals, or operational users.
A full learning journey...
Effective AI literacy requires more than content delivery — it demands a structured, goal-oriented approach that aligns with the organisation’s operational context and strategic objectives. At Wiimer, we implement a clear and collaborative methodology designed to ensure relevance, applicability, and measurable impact across diverse organisational settings.
discovery & mapping
Comprehensive assessment of team profiles, AI-related roles, deployed technologies, and existing use cases, to establish a baseline understanding of current capabilities and risks.
program design
Definition of learning objectives, knowledge depth, and delivery format — calibrated to role-specific requirements and regulatory exposure.
training delivery
Execution of expert-led sessions, using real-world examples and sector-relevant scenarios to ensure engagement and contextual learning.
impact evaluation
Post-training analysis to assess knowledge acquisition, identify remaining gaps, and provide recommendations for reinforcement and continuous improvement.
Tailored to what Matters…
AI literacy is not about exhaustive technical mastery — it’s about delivering the right knowledge, to the right people, in the right context. Different functions within an organisation engage with AI in different ways, and our training content reflects that complexity. Depending on your needs, training topics may include:
AI
Fundamentals
Core principles of artificial intelligence, machine learning, and algorithmic decision-making.
Operational Use Cases
Relevant AI implementations, potential risks, and strategies for responsible and compliant use across business units.
Regulatory Landscape
In-depth analysis of the EU AI Act risk classification of AI systems and related requirements.
Human Oversight & Risk Management
Frameworks for implementing meaningful human oversight, identifying and mitigating risks.
Ethics in Practice
Applied discussions on algorithmic bias, fairness, accountability, explainability, and the interface between AI and fundamental rights.
Governance and Strategy
Strategic considerations for leadership roles — including decision-making frameworks, policy alignment, and fostering a culture of trustworthy AI adoption.
One Framework. Infinite Possibilities.
Standardised approaches fall short when it comes to building meaningful AI literacy across complex organisational environments.
Wiimer’s framework is designed to adapt to specific structures, systems, and operational contexts — embedding the necessary knowledge where it is most critical: in decision-making processes, technical environments, and governance workflows.
Ready to explore what tailored AI literacy can look like in practice?