We turn scattered AI usage into shared work practices your teams can use, measure, and repeat.
Practical AI adoption programs for companies that need fewer demos, fewer unused licences, and more visible change in daily work.
Short, intensive sessions: Learn AI with No-Code, AI Tools Masterclass, AI Literacy, and Generative AI for Leaders.
Up to 60%
Copilot adoption drop without structured enablement
Source: The Missing Link
1,400+
professionals trained across Europe
1 day
to rebuild one recurring team task with AI support
The real problem
Most companies already have AI tools in place. Copilot, ChatGPT, Gemini, internal assistants, or other platforms. But daily work often stays the same.
People still start from blank pages.
Reports are still written manually.
Research is still fragmented across tabs.
Teams still copy, paste, rewrite, compare, summarize, and prepare work the old way.
"This is not just a tooling problem. It is a diffusion problem. AI is used by individuals, but it has not yet become a shared way of working."
What goes wrong inside companies
Employees experiment alone, without shared rules or examples.
Licences exist, but daily work has not changed.
Some people produce first drafts in seconds. Others still start from zero.
Managers hear success stories, but cannot see adoption metrics.
Training sessions happen, but behavior does not change afterward.
Every employee invents their own way of using AI. The company gets improvisation, not adoption.
What we do
The Unlearning School works with teams to identify slow, repetitive, outdated work patterns and replace them with AI-assisted workflows people can use the next morning.
We do this through practical workshops, adoption programs, role-based exercises, templates, usage rules, and before, after measurement.
The shift
The Unlearning School closes this gap by turning AI from personal experimentation into team-level work practice.
The premise
"AI training for real work, not for demos. Adding a tool to an unchanged process does not change the process. You need to change the task, remove the old habit, and give the team a repeatable way to work differently. That is the step most deployments skip."
Who this is for
The situation
AI tools are available. Licence spend is real. But process times, reporting cycles, handovers, and repetitive admin work have not improved enough. The board is asking for results, not more experimentation.
What you get
One recurring task rebuilt with AI support. A measurable before, after output. A working template your team built and can reuse.
The situation
You need a credible AI upskilling program. People are curious, but usage is uneven. EU AI Act Article 4 makes AI literacy harder to ignore, but generic training does not prove behavior change.
What you get
Role-adapted workshops built around the tasks people actually do. Participants leave with 3 to 5 AI-assisted workflows they can use the next morning.
The situation
Tools are deployed and licensed. Adoption metrics are flat. Business teams expect results, but AI usage remains inconsistent, risky, and hard to govern.
What you get
A cross-functional adoption layer on top of your existing stack. Internal champions, practical governance, usage standards, and AI literacy evidence.
Three ways to start
Program 1 · Core
Structured AI adoption program for business teams that need to use AI in real tasks, not just understand the tools. Available as: Discovery session, 1 × 2h, Short sprint, 2 to 3 sessions, Full program, 4+ sessions. Built on the AI tools your organization already uses or plans to use.
Plan your AI adoption sprint →Program 2 · Accelerator
Hands-on workshops, internal hackathons, keynotes, and adoption events for fast proof and internal momentum. Formats from 90 minutes to 2 days. Built for 15 to 500 participants. Every demo is connected to real workflows, not generic productivity examples.
See event formats →Program 3 · Adoption support
We structure AI adoption programs around vendor MDF, partner incentives, co-sell motions, or digital grant opportunities when relevant. The goal is simple: reduce friction, align the program with available funding, and make the business case easier to approve.
Request funding options →
Your company may already pay for AI licences. But access does not mean adoption. The hard part is translating AI into the team’s actual work.
Before any session, I research the company, the industry, and the departments in the room. Demos are built on workflows people already do. Sessions run mostly inside the AI tools participants already have access to. Everyone leaves with practical templates, not a recording they will never rewatch.
Before / after adoption indicators
Real data aggregated from anonymous pre- and post-training participant questionnaires.
AI Comfort Level
AI Use Frequency
Weekly Time Saved
58.67 min
estimated per participant
Readiness Score
83 / 100
standardized index
Course Utility & Trainer Feedback
Participants do not need more theory. They need direct application on department-specific tasks. The most immediate workflows we address are:
What participants say
Congratulations on the initiative!
When Răzvan says it, it feels like one of those ‘why didn’t I think of this before’ moments.
A very useful and well-organized course, with explanations that can be applied directly.
I’ve been working with AI since it came out, and yet I’m still learning.
AI is the future and the future is now.
Operating credibility
The Unlearning School combines leadership experience, AI literacy work, no-code practice, and Hermes Agent capabilities into adoption programs focused on real tasks, manager visibility, and responsible use.
The Final Word
Plan your adoption sprint or book a free 30-min AI Adoption Call if you want a maturity score and roadmap first.
Schedule a sprint or get a maturity score + roadmap from the diagnostic call