AI Training for Companies

AI training for companies covers the fundamentals of working with AI, hands-on tasks from the team's daily work, and the rules for handling data safely. We start with what language models can and cannot do, when to trust them and when to check the result. Participants then work with the tool the company uses — Microsoft Copilot, ChatGPT, Claude or Gemini — on tasks from their own department.

Every group also goes through a security module: what never goes into an AI tool, how to recognise an attempt to manipulate the model, and what the company's internal AI policy says. Exercises use your anonymised data so they stay close to real work. At the end every participant receives a certificate of completion of AI literacy training (Article 4 of the EU AI Act); the 20-hour programme also includes an online exam.

The training runs in three steps: a needs call, delivery, and a check of what was learned. In the first call we agree which departments take part, which tools and licences you already have, and which tasks you want to speed up. We build the examples and exercises around that — your processes, not generic demos.

The starter session is one 4-hour session. The team programme is five 4-hour sessions scheduled around the team's calendar — for example once a week, so people can apply what they learned between sessions. Groups are capped at 20 people to leave time for practice and questions. We deliver on-site at your company or online, in Bulgarian or English. After the programme you receive a summary of what was covered and the next steps for the team.

AI training is the core of phase 1 of the Encorp AIM method — Enablement (weeks 1–4). In it, teams are trained by department, we prepare a readiness profile and an opportunity map, draft an AI policy, and by week 4 the team has a working quick win. Phase 2, Roadmap and PoC (weeks 5–10), and phase 3, Deployment (weeks 11–12), follow, with two decision gates in between. The three phases and the packages are described on AI transformation for companies · the Encorp AIM method.

Training is an entry to the process, not an end goal: a team that knows how to work with AI is the starting point, and the result comes from processes that change. After a stand-alone training the usual next step is a meeting with an AI Director, where we pick the first quick win and the scope of the 12-week AI transformation. One transformation covers a team of up to 20 people — the same size as a training group — and the Fractional AI Director owns the result end to end. Strategy and the roadmap are part of the first team's transformation, not a separate paid step. The training can also be booked on its own.

The training is built around the requirement in Article 4 of the EU AI Act that companies ensure a sufficient level of AI literacy among staff who work with AI systems. It explains how the tools work, what the risks are and how to use them responsibly in your company. Every participant receives a certificate of completion of AI literacy training (Article 4 of the EU AI Act), which the company keeps in its records.

The certificate documents the training; on its own it is not a legal assessment of compliance. What exactly a company has to do under Article 4 is explained in the guide AI literacy under Article 4 of the EU AI Act. For policies, the risk register and oversight of AI systems, see AI governance and the EU AI Act. This information is not legal advice.

We train on the tool the company already uses or has chosen, because the fastest effect comes from working with the real licences. If the company works in Microsoft 365, Microsoft Copilot is usually the logical choice; in Google Workspace, Gemini. ChatGPT and Claude are often chosen by teams that do a lot of writing, analysis and programming.

If the choice is still open, the comparison in Microsoft Copilot, ChatGPT Enterprise or Claude: which fits which company helps you decide. Encorp AIM also has two tracks: the Microsoft Copilot track for all employees who work in Microsoft 365, rolled out department by department, and a tool-agnostic track with ChatGPT and Claude for managers and advanced users. Copilot is not required, and many companies combine the two — Microsoft Copilot for everyone and ChatGPT or Claude for a smaller group. Details for each tool are on the training pages below.