AI You Don't Learn on a Course (But Like This You Do)
Erwin Berkouwer
Forget those 2-day PowerPoint trainings. The best way to learn AI? Just do it. With real problems. In your own environment. We help you with that.
AI you don't learn on a course — but like this you do
Companies spend an average of €3,000 to €5,000 per employee on AI training. Two days of PowerPoint, a certificate, and three weeks later 70% is forgotten — that's the hard reality of the Ebbinghaus forgetting curve. Meanwhile, the competitor who actually started with real implementations keeps pulling ahead. The problem isn't your team, it's the approach. You don't learn AI in a classroom — you learn it by doing it with real problems from your own business.
The New Reality of AI in 2026
In 2026, 68% of SMEs use at least one AI tool — a threefold increase in two years. At the same time, 40% of AI implementations fail at the SMB level within the first year, often due to unrealistic expectations or lack of practical application after the course. Moreover, the EU AI Act now requires companies to demonstrate AI literacy among employees working with AI systems.
The conclusion: it's not about whether your business uses AI — that will happen anyway. It's about how you learn it, so you're in the 60% that does it right.
Why AI Courses Don't Work
Most AI training is built on how we transferred knowledge twenty years ago. For a fast-changing field like AI, that model falls fundamentally short.
The three reasons courses fail:
- Forgetting curve: Without direct application, you forget 70% of course content within a week. Training on Tuesday, nothing done by Wednesday — and by Friday it's almost gone.
- Generic examples: "Use ChatGPT to write emails" doesn't help you as a logistics manager with specific system integrations at all.
- AI evolves faster than curricula: A course from 6 months ago covers tools already surpassed by newer versions. You learn yesterday, not today.
"The companies that benefit most from AI aren't the companies that took the most training — they're the companies that started earliest experimenting on real business problems."
What this concretely costs: a company with 10 employees each spending €3,000 on training without direct application wastes €30,000 without measurable results. While one focused automated process already saves 3 to 5 hours per employee per week — worth more than €15,000 in productivity gains per year.
How Do You Learn AI Then?
The only proven method: learn by doing, with real problems from your own business. At Unify AI, we work with a 3-step approach:
Step 1: Choose one concrete problem
We don't start with theory, but with a recognizable bottleneck:
- "We spend 2 hours a day processing supplier emails"
- "Quote creation takes 4 hours; that could be faster"
- "Customer questions get manually searched through a 5,000-item database"
Step 2: Build it together
We build the AI agent or automated process together with your team — so people learn the logic from within. Not explanation afterward, but thinking along while it's being built. Check out our AI integrations at SMEs for concrete examples.
Step 3: You take over
Once the system is running, we hand it over completely. Your team knows how to adjust the system, diagnose problems, and tackle the next process independently. Those are the real AI skills a course can never teach — and the competencies the EU AI Act asks of your organization.
Practical Example: Accounting Firm
An accounting firm wanted to use AI for invoice processing. They'd taken a course before, but nobody knew how to apply it in practice.
What we did:
- Week 1: Built a system together that automatically processed 10 test invoices
- Week 2: Tested with real customer invoices from their own portfolio
- Week 3: Scaled to 100+ invoices per month
- Week 4: Team fully independent — including adjustments and troubleshooting
Result: 40% less manual data entry. The team can now independently build AI applications for other processes.
What Does It Deliver for Your Business?
SMEs report an average of 30–50% time savings on administrative tasks after AI implementation. Concrete results from our own practice:
| Sector | Automated Process | Time Saving |
|---|---|---|
| Logistics | Customer communication about deliveries | 3 hours per day |
| Accountancy | Invoice processing and categorization | 40% less manual work |
| Retail | Inventory management and purchase orders | 2 hours per week per location |
| Business Services | Quote assembly | 70% faster |
| Healthcare | Reporting and file processing | 5 hours per week per employee |
Check out more applications in our AI use cases for the sectors we serve most.
"Always start with the process where your team feels the most pain — not the 'coolest' AI project. That gives the quickest visible win and the most buy-in from the team."
Course vs. Learning-by-Doing: Comparison
| Traditional AI Course | Unify AI Approach | |
|---|---|---|
| Time Investment | 2 days passive | 4 weeks active |
| Costs | €1,500 – €5,000/person | €2,500 – €6,000 total |
| Result after 1 month | Mostly forgotten | Working system live |
| ROI | Not measurable | Directly measurable |
| Team Independence | Low | High |
| EU AI Act Compliant | Not demonstrable | Fully documented |
| Customization | None | Fully to your processes |
When Is This the Right Approach for You?
This works best if:
- You have repetitive, time-consuming processes that frustrate people daily
- Your team is willing to participate in the implementation (not just watch)
- You want to see results within 4 to 6 weeks, not after a year roadmap
- You want to ensure demonstrable AI literacy in line with the EU AI Act
Still exploring? We help you in a free conversation determine which processes are ready for automation. No commitment, but concrete insights.
Frequently Asked Questions
Does my team need technical knowledge to learn AI?
No. The skills we transfer — good prompting, system integration, evaluating results — aren't technical skills. They're new work habits anyone can learn.
What's the difference from a regular AI course?
A course teaches theory with generic examples. We build a working system for your specific situation, so your team learns while seeing real results in their own work environment.
How quickly do I see results after starting?
The first working solution typically comes within 1 week. After 4 weeks, your team has a fully working system and the skills to manage and expand it independently.
What if AI tools change or improve?
We teach you the underlying logic, not a specific tool. If a tool improves or changes, your team adapts — because they understand what AI does, not just how a button works.
How much does this cost compared to a regular course?
Traditional AI training costs €1,500 to €5,000 per person without a working result. Our approach starts from €2,500 for the entire team, including a live system and full knowledge transfer.
Does the EU AI Act require anything about AI training?
Yes. The EU AI Act requires organizations working with AI systems to ensure demonstrable AI literacy among involved employees. Our approach delivers those competencies — because people work with real systems and that's documented.
Ready to really learn how to use AI?
Plan a free 30-minute intake. Together we determine which process gives you the most time savings — and your team learns it by doing it.
Want to know more about learning AI by doing? Discover our AI Coaching trajectory tailored for teams wanting to grow in practice.
