Build AI Literacy Across Your Team

AI Literacy means understanding what AI is, how it works, where it’s useful — and where it’s not. It includes the ability to evaluate, use, and talk about AI confidently and responsibly in everyday work, including awareness of risks, legal boundaries, and practical applications within your organization.

AI Literacy is not just technical. It empowers people across roles — from HR and operations to product and leadership — to make informed decisions about AI tools and practices.

Under Article 4 of the EU AI Act, providers and deployers of AI systems must take measures to support the development of AI literacy among their staff and other persons operating or using AI systems on their behalf. These measures should take into account their knowledge, experience, education and training, the context in which the AI systems are used, and the persons or groups affected by their use.

This training is for teams and organizations that want to build foundational AI knowledge — especially non-technical roles who need to work with or around AI tools.

We adapt the content to your organization’s size, structure, and roles — from startups and SMBs to large enterprises.

No prior knowledge is required. We tailor the starting point of our AI Literacy to your team’s current level of experience, which we clarify during a free discovery call.

If your team includes groups with different experience levels, we can separate them into tracks or breakout sessions — so everyone gets value at their own pace.

Each AI Literacy session is tailored to your industry, specific use cases, and maturity level — taking into account your organization's technical expertise, experience, education, training, and current use of AI. Our training is built directly on the European Commission’s official guidance for Article 4 of the EU AI Act and tailored for your organization. Core topics include:

• What AI is, how it works, what types of systems exist, and where they are used in your organization — including terms like machine learning and large language models.
• What role your organization plays when using or providing AI systems — and what responsibilities come with that under the EU AI Act.
• What risks are linked to AI, such as biased data, lack of transparency, or legal issues — and how to recognize and reduce them.
• Why transparency, fairness, and human oversight matter when using AI — and what legal and ethical rules you need to follow.

Based on your goals and expectations, we can sharpen the focus on additional topics.

We deliver AI Literacy either remotely or on-site — based on your preference. The format is flexible: from short half-day sessions to full-day or multi-day programs.

Sessions include a mix of short lectures, real-world examples, team activities, and open discussion. We can also provide documentation and certificates of participation.

The pricing for our AI Literacy depends on the number of participants, the training format (remote or on-site), and the degree of customization (i.e., how closely the training is tailored to your organization). After a free discovery call, we always provide a clear and transparent quote.

There are no hidden fees, and we adjust scope and depth based on your budget and priorities.

Unlike typical AI literacy programs, our training is fully tailored to your organization’s context — including your current AI use, technical background, and team structures. We align the content with your real-world challenges and strategic priorities, so your team gains exactly the understanding they need to apply AI confidently in their own workflows.

The training format is also flexible: we offer both remote and on-site sessions, ranging from half-day workshops to multi-day deep dives, all adapted to your team's availability and working style.

Rather than abstract theory or buzzwords, we focus on practical, organization-specific application. That includes understanding your role under current and upcoming regulations like the EU AI Act, identifying key risks, and building a responsible AI culture across departments.

Responsibility is at the core of our approach: your team learns not just how to use AI, but how to assess its impact, ensure transparency and fairness, and meet legal and ethical standards — so you can innovate with confidence and accountability.