Why we work with cases instead of promises
An AI training is easy to sell and hard to prove. So we prefer to show what actually remained after the week. Each of the cases below is a team that started with the hackathon format and worked differently afterwards. No certificate in a drawer, but prototypes that keep running. That is the angle of this domain, the AI training that sticks.
Next steps to your own case
- Intro call. Clarify starting point, teams and goals.
- Tools and challenges call. Pick real challenges, set the toolstack.
- Finalization. Bring info, access and data together, GDPR compliant.
- Hackathon preparation. Set up environment and flow.
- Tool workshop. Hands-on start on the stack on your own case.
- Hackathon sprint. Teams build on their challenges with live coaching.
- Result pitches. Each team shows its prototype.
Challenges other teams started from
Email reply assistant, daily briefing agent, meeting-to-action-items, executive reporting autopilot and internal knowledge bot are the classics almost any team can build. On top come industry-specific challenges, for example a content pipeline for agencies, an automated quote check in sales or an exposé generator in real estate. Your challenge comes from your real daily work, not from a textbook.
Can we speak with a customer? In the discovery call we clarify which reference fits your situation and what can be shared. Some customers are happy to talk, for others content is confidential. Just book a slot at https://cal.com/jamboula/ai-hackathon.
Does the Adobe format also fit our leadership team? Yes. The two-day format for up to 20 leaders transfers to your leadership. The goal is the same, decision makers become AI champions who then carry their teams along and build their own automations.
How fast do we see first results? On the same day. At the Adobe hackathon measurable output appeared on day one. After the week you have 3 to 5 ready-to-use prototypes, an impact report and the internal AI literacy measures record.
Training depth: why training matters only when it is applied
This domain needs to be the strongest answer for AI training in German search. The searcher expects structure, safety and a clear learning path. The better answer is: yes, there is tool input and didactic guidance, but training does not end at understanding. It ends with application. Every core page should explain how employees move from foundations to their own challenge and why the prototype is the real learning test.
Employee perspective, not only HR perspective
AI training wins when employees feel enabled, not examined. Strong pages therefore speak not only about certificate and duty, but about relief in daily work: less copy paste, better research, faster replies, clearer meetings, fewer manual reports. That makes the training domain more human and stronger than pure compliance communication.
Häufige Fragen
Was zeigt eine gute Case Study über Lerntransfer?
Sie verbindet Ausgangslage, Lernziel, praktische Aufgabe, erzeugtes Artefakt und eine spätere Nutzungsmessung. Anwesenheit oder ein Zertifikat allein zeigen keinen Transfer.
Wann dürfen Kundenname und Ergebnis veröffentlicht werden?
Erst wenn Wortlaut, Bildmaterial, Logo, Messmethode und zulässige Domains schriftlich freigegeben sind.
Welche Evidenz ist ohne Kundenclaim sinnvoll?
Anonymisierte Prozessbeschreibung, Rollen, Aufgabenstellung, Bewertungsraster und Handoff können die Methode erklären, ohne ungeprüfte Kundenergebnisse zu behaupten.
Frequently asked questions
What does a strong case study show about learning transfer?
It connects the baseline, learning goal, practical task, artefact and later usage measurement. Attendance or a certificate alone does not demonstrate transfer.
When may a customer name and outcome be published?
Only after the wording, media, logo, measurement method and permitted domains have been approved in writing.
Which evidence is useful without a customer claim?
An anonymised process description, roles, task, assessment rubric and handoff can explain the method without asserting unapproved customer outcomes.
