Author and editorial responsibility
Tim Jamboula, Founder of Corporathon. Last reviewed 24 August 2026.
Summary
Effective AI training needs no months of run-up. In just one week you go from first contact to a finished prototype, along seven steps: intro call, tools and challenges call, finalising info and data, preparation, tool workshop, sprint, and pitches with handoff. Each step has an owner and a result. The plan turns training knowledge into application on your real process immediately.
Table of contents
- The real question behind the agenda
- The 7 steps in one week
- Owner and result per step
- Decision framework: are you ready for the one-week agenda
- Honest cost logic of preparation
- A worked ROI example (model)
- EU AI Act: the record forms with the prototype
- What to do next
- FAQ
1. The real question behind the agenda
"How long does AI training take" is usually answered with dates. The better question: how fast does application happen? A seminar can be done in a day and stay pointless for months. A well-planned one-week agenda delivers a used result by the end of the week because it joins learning and building instead of separating them.
It is not the length of the training that counts, but the time to first real application. One week is enough if the plan is right. – Tim Jamboula, Founder of Corporathon
2. The 7 steps in one week
Visualisation: the one-week agenda as a timeline (schematic, illustration without measured values).
Step
1 Intro call ▮
2 Tools/challenges ▮
3 Final info/data ▮
4 Preparation ▮▮
5 Tool workshop ▮
6 Sprint ▮▮▮
7 Pitches + handoff ▮
---------------------------------> Time (one week)
Run-up Hackathon days
The run-up (steps 1 to 4) clarifies goal, tools, data and access. The hackathon days (steps 5 to 7) join a compact tool workshop with the actual sprint and end in pitches and a handoff to the owner.
3. Owner and result per step
| Step | Owner | Result |
|---|---|---|
| 1 Intro call | client plus uns | clarified goal and frame |
| 2 Tools and challenges call | department plus uns | selected challenges and tools |
| 3 Finalise info and data | owner at the client | approved data and access |
| 4 Preparation | Wir | ready environment and agenda |
| 5 Tool workshop | Wir | teams confident in the chosen tools |
| 6 Hackathon sprint | mixed teams | working prototype |
| 7 Pitches and handoff | teams plus owner | result plus responsibility for after |
Each step has exactly one owner and a checkable result. That keeps the week from dissolving into discussion.
4. Decision framework: are you ready for the one-week agenda
- Is a concrete process named as a challenge? No goal, no sprint.
- Can data be approved by step 3? The week stands or falls with timely data approval.
- Is an owner named for the handoff? Without one, the prototype stalls after Friday.
- Do teams have protected time in the sprint? Half attention halves the result.
Rule of thumb: four yeses mean the one-week agenda fits. If one is missing, clarify it first, or the plan slips.
Plan your one-week agenda on a real case
Two paths, depending on maturity level.
- Book directly: Book a discovery call. 30 minutes, we map the seven steps to your case.
- Read first: Enter your email and get the agenda template plus preparation checklist. No spam, unsubscribe any time.
5. Honest cost logic of preparation
The visible part is the sprint, the expensive part is often the preparation. Anyone who underestimates it risks the week.
- Data approval. The biggest time sink before the week. Early approval lowers cost and risk.
- Scope. A goal that is too broad dilutes the sprint, a clearly cut one speeds it up.
- Access. Missing system access blocks teams, clarifying it belongs in the run-up.
- Owner time. The handoff needs an owner with real time, not just a name.
We quote prices personally. The right scope emerges in conversation, from these variables.
6. A worked ROI example (model)
Purely illustrative model. The one-week agenda produces a prototype for a process that costs a team of seven four hours per person per week.
- Starting load: 4 hours × 7 people = 28 hours per week.
- The prototype removes half of that: 14 hours saved per week.
- Across 45 working weeks: 630 hours per year.
- At a 60 EUR internal hourly rate: roughly 37,800 EUR of modelled annual value from one week of work.
The figures are not a guarantee and not client numbers. They show that a well-planned week can create value that carries the whole year.
7. EU AI Act: the record forms with the prototype
Since 2 February 2025, Article 4 requires sufficient, role-based AI literacy. The one-week agenda creates the record along the way: documented participation, chosen tools, solved challenge and a used artifact. That is a tangible building block, not an official certificate, not automatic compliance. The company itself must assess whether this is adequate.
8. What to do next
Check the four readiness questions honestly. With challenge, data approval, owner and protected sprint time in place, the one-week agenda is the fastest path from intent to a used result. The best first step is the intro call, where we map the seven steps onto your real case.
Next step
- Book directly: Book a discovery call. We start with the intro call for your one-week agenda.
- Read first: Enter your email and get the agenda template. Double opt-in, unsubscribe any time.
Related terms
AI hackathon · AI training for companies · AI adoption · AI training cost
FAQ
Does effective AI training really take only one week? Yes, if the plan is right. Four run-up steps clarify goal, tools, data and access, three hackathon steps deliver workshop, sprint and handoff. By the end of the week there is a used prototype, not a mere certificate.
How much preparation does the one-week agenda need? Above all timely data approval, a clear scope, organised system access and an owner with real time. This preparation is the part that decides the week's success.
What happens to the prototype after the week? It goes to the named owner with the handoff. Often a short rebuild phase follows to harden it. Without an owner the prototype risks stalling, which is why step 7 matters so much.
Must participants be able to code? No. The tool workshop makes teams confident in tools like Lovable, n8n and Custom GPTs that need no classic coding. Domain knowledge about the process counts more than programming skills.
Legal note: The documentation created in the one-week agenda can evidence AI literacy measures, but is not an officially mandated certificate and does not automatically guarantee compliance with Article 4.