← All courses
AI-PLUG: The framework for bringing AI into your company
Course · Method and organization · Level 3
Bring AI into your company in 100 days, with a plan you can defend to leadership.
A 100-day plan built on the six AI-PLUG phases, each with a duration you can defend
A data policy and a list of approved tools that Legal can accept
An AI-Team in place, with the roles it needs and regular meetings
Pilot projects whose success criteria were written down before the work started
The questions to ask a vendor, and the answers that rule it out
Decisions on tools, data and budget belong to the AI-Team, which you build in the lesson before.
Why individual enthusiasm goes nowhere, and what a plan does instead. The six phases in short, plus the role of the AI-Team.
Aligning a leadership split between people expecting miracles and people already disappointed. How the AI-Team is formed, and who stays out of it.
Three decisions come first: which tools, which data, which budget. The kickoff workshop and how long each piece takes.
Getting people to experiment for real, every day, until the first pilot is chosen. Handling the skeptic, the frightened, and the one who wants to automate everything.
Turning what works into a base that stays with the company. How a prompt gets documented, and why a failure is worth more than a success.
Measuring impact and showing it to leadership. Assessing a vendor, finding where your data lives, staying inside the AI Act.
The first project that is no longer an experiment. Company policy, and how the method reaches the other teams.
Two diagrams drawn from the course content.
A manager walks out of a meeting with the CEO and has no idea where to start. Follow him as he aligns leadership, builds the team, picks the tools and closes the first pilot.
Something written comes out of every phase: the data classification, the pilot structure, the policy outline, the criteria for judging a vendor. You leave with your own documents.
Stuck? Ask, in writing or out loud. It answers about the lesson you are on.
5 questions per lesson. At the end you get a course certificate, with the quizzes you passed.
Leadership decided to start, and you were the one named. You need a plan with phases, durations and results you can show to whoever gave you the mandate.
Your group already exists, and everybody brings a different idea to the meeting. Here you find the working rhythm and the decisions in order, one phase at a time.
An AI mandate. This course is about company decisions and assumes you know what AI can do.
DigComp is the list Europe uses to name digital skills. There are 21 in all: this course covers 8. Below you find which ones, and in which lesson you learn them.
This course introduces measuring value and leading an AI-Team, and AI-Team 2026 completes both in practice.
The plan is yours. Now the team that runs it has to be trained.
For several people, team licences cost less per person.
If after 5 minutes you have not learned something new, you have lost 5 minutes.
No. This course is about leadership, data, budget and people. There is no code, and the technical part is limited to choosing among ready-made tools.
Yes, and that is where it was built: the route was refined with small and medium Italian companies, workshop after workshop. Phases stay the same, team size changes.
Yes, because that is its starting point. Lesson one explains why scattered experimentation stops on its own, and what keeps it going.
Short lessons, in one sitting or spread out, plus the quizzes. The company work the course prepares runs for months.
Max Turazzini. 3 years of workshops in more than 200 companies, 2,000 people trained. The method collects the mistakes made bringing AI into companies and keeps only the steps that worked.
"You learn AI by doing it, by getting it wrong, and by having someone beside you who has been there before."
Start with the free lesson →