01
01
Spark
The AI workshop · 1 day · up to 10 people
The entry point, one focused problem and a first working result on the same day onsite.
- Morning AI foundations
- One challenge sprint
- Handoff notes for IT
Use Case
Scope
Build
Transfer
AI Workshop
AI Hackathon for Companies | Corporathon
Your team builds a working prototype from real company data in a facilitated sprint, instead of talking about AI in a seminar. The entry point is often the AI workshop, one day onsite on one focused problem. Need more, you scale straight up into this multi-day Corporathon hackathon. We plan scope, challenges, roles, data, tool access and the run of show so your hackathon can be ready to start within one week. What ships and when depends on the agreed scope.
- Real prototypes instead of slides
- Facilitated by AI practitioners
- Ready to run within a week
- Documented handoff included
Built for
The market is shifting from chatbots to agents. Teams need application, not another slide deck.
Starting point
What goes wrong with training in the AI era
Lectures and slide decks create knowledge on paper. A hundred employees who actually run AI in daily work move a company further than a thousand where only ten do. That is exactly what the AI workshop is built for, one day where teams build real work output with the tools they will keep using.
<20%
Knowledge retention
With passive learning, less than 20% of content sticks. Lectures and webinars fizzle out because participants never get hands-on.
~70%
No application
Around 70% of training participants never apply what they learned in their daily work. The gap between theory and practice is too wide.
0×
No tangible ROI
Classic training delivers no measurable return. No prototype, no tool, no workflow, just a certificate of attendance. For CFOs and budget owners a nightmare, because they approve budget for something whose impact can't be proven.
Comparison
In the age of AI only a hands-on learning approach counts
Classic training
Corporathon hackathon
Output
Certificate
A working prototype
Format
Slides and lectures
Hands-on with real data
Retention
unclear without transfer measurement
measurable via usage and handoff
Adoption
fades within days
champions train their sub-teams
ROI evidence
hard to show
tangible projects on your own stack
Role of IT
not involved
documented handoff included
From workshop to hackathon
Three formats, one principle, build instead of listen.
The entry point is Spark, the one day AI workshop. Need more, move on to the multi-day Corporathon hackathon with Ignite or Blaze. Every format is all-inclusive, we prepare, facilitate and document. Pricing on request.
02
02
Ignite
2 days · 10 to 15 people
More depth for parallel teams, real challenge design and solid prototypes.
- Challenge design upfront
- Parallel teams
- Pitches with handoff package
Teams
Build
Sprints
Scores
Launch
03
03
Blaze
3 to 5 days · 15+ people
The large format for several challenges, production-near results and a rollout plan.
- Multi-day sprint
- Post-event report
- Rollout roadmap
Roadmap
Report
Champions
Plan
Impact
Rollout
Voices
What teams say after the AI workshop.
We did not want a training format, we wanted real output. Five teams started with our own data and tools and shipped prototypes in 24 hours that went straight into daily work. The effect was immediate because every team solved a problem that had been stuck for weeks.
TR
Tim Rath
Founder, YOYABA
With a hands-on hackathon to 5 prototypes in 24 hours
Challenges
- AI tools were in use but without committed use cases
- Knowledge stayed with individuals instead of the team
- No format that brings marketing, sales and ops together
Results
5 Prototypen
built in 24 hours
1 Tag
from problem to result
Handoff
documented for further use
Social proof
What participants post on LinkedIn
Original posts from real Corporathon hackathons, embedded straight from LinkedIn.
View on LinkedIn
Challenges
The challenges the AI workshop solves.
Three starting points we see in almost every company. The AI workshop starts exactly there, the hackathon takes it further.
Antwort-Assistent
Triage
Angebot Rückfragehoch
Termin verschiebenmittel
Newsletterspäter
12 Antworten vorbereitet
From chatbots to agents
The challenge
80% of the team only uses ChatGPT, Claude or Gemini as a chatbot. The age of agents is here, but nothing of it lands in daily work.
What happens in the hackathon
In the hackathon the team builds its first real agent: with tools, data access and a workflow that runs without prompt copy-paste.
Board Update
autoZeit
-2 Tage
Quellen
6
From tool tests to prototypes
The challenge
Licenses bought, trainings done, pilots ending in slides. What's missing is something that actually runs in operations.
What happens in the hackathon
One week, one scope: the biggest time sink becomes a working prototype with an owner, a metric and an IT handoff.
Wie läuft unser Onboarding?
Playbook.pdfPolicy v3Notion
From lone champions to a team
The challenge
A few enthusiasts push AI, everyone else waits. Knowledge stays with individuals and adoption stalls after the kickoff.
What happens in the hackathon
Teams build themselves, document their solution and become internal champions who start the next use case without us.
Free Resources
Free AI Resources
Part of our hackathon toolkit is free: ready-made AI skills for your agents, tools and canvases for the prep phase, plus a curated directory of the tools our teams actually build with. No login, just use it and share it in your team.
AI Skills
Free AI skills
Ready-made, reusable skills for your AI agents. One command to install, usable in your team right away.
ViewTools
Free tools
ROI calculator, readiness check and canvases for the prep phase. Usable directly, no sign-up.
ViewLibrary
AI prompt & MCP library
Proven prompts and MCP setups from real hackathons. Copy, adapt and put them to work.
ViewDirectory
AI tool directory
Curated directory of the tools our teams build with. Including use case and pricing.
ViewTools we build with
Benefits
How it feels when AI finally lands in daily work.
Your context, our expertise
We work with your processes, data and tools instead of generic course examples.
Kontext-Mapping
Prozesse
Daten
Tools
Rollen
Guardrails
Focus on output, not slides
Every team leaves the sprint with something that runs and has been tested.
Prototyp v1
liveTests
Docs
Handoff
Results within one week
From kickoff to a working prototype in five working days.
Sprintwoche
Mo
Di
Mi
Do
Fr
Champions who carry it on
Participants train their own sub-teams afterwards and keep adoption high.
AL
MK
SB
JD
TR
LP
01
Deliverables
Pre-scoping with per-team challenge design, a curated tool stack per challenge including access, a facilitated build sprint with support throughout, at least one working prototype per team, a handoff document per prototype with owner, access, open risks, acceptance criterion and next step, and documentation of the AI literacy measure for participants.
Our process
Next steps to your AI workshop.
Day 0 — Discovery Call
We clarify what leadership wants to achieve, which teams take part and where the AI journey goes.
Day 0 — Tool Setup
We check existing licences and handle the rest: access, environments and test accounts.
Day 0 — Challenge Design
We align agenda, tech stack and concrete challenges together with your team leads.
Day 0 — Preparation
Full prep on our side: logistics, participant list and challenge briefs are final.
Day 1 · AI Workshop
Your team builds, we facilitate table by table. By the end of the day the first prototype runs.
Afterward · Handoff
Presentation, documentation and setup instructions so IT can integrate and the team can own it. If the problem runs deeper, next comes the Corporathon hackathon.
Output, not slides
A Corporathon is not a seminar. It is a facilitated sprint where teams rebuild real work with AI.
0 week
from scope to ready-to-run sprint
0 formats
Spark, Ignite and Blaze
0 steps
from call to documented handoff
Next step
Ready for your Corporathon?
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
Questions that should be clear before the first call.
The Corporathon AI hackathon, with the AI workshop (Spark, one day onsite) as the entry point. Hands on, real data, a working prototype.
For agencies, tech scaleups, digital natives, mid-market and enterprise. Business teams without coding skills are explicitly included. We tailor challenges and format to size and goal, from five to over fifty participants.
One day to five days depending on format. Spark is the AI workshop and runs one day onsite, Ignite two days, Blaze three to five. The run-up with intro call, tools call, data approval and prep fits into the same week, so you can be ready to start within one week.
At least one working prototype per team, a handoff document and a documented AI literacy measure.
No. Business teams build with AI tools without traditional coding. We pick the stack so the challenge is solvable without prior knowledge.
The hackathon can document a practical AI literacy measure and support Article 4, but it is not an official certificate and does not guarantee automatic compliance. The company must assess the overall program by role and risk.
Most companies no longer have a knowledge problem. They have an execution problem. People have heard of ChatGPT, some attended a seminar, and daily work barely changes. That is rarely about motivation. It comes down to four concrete points a lecture cannot fix: the transfer to the real, often sensitive work case breaks; no one owns AI; real data is locked until IT and privacy are involved; and …
A Corporathon is not a developer competition. It is a guided work sprint for business teams who cannot and do not need to code. Participants work with Cursor, Lovable, n8n, Gamma, Figma Make, Claude Code and Custom GPTs on their own data. Facilitation keeps the focus on one tightly framed problem so something usable exists at the end. A typical sprint has four interlocking parts: challenge …
The goal is not a good feeling on Friday afternoon. The goal is that your team visibly works differently after the sprint: a working artifact you own and keep running, practical AI skill that formed on a real case and therefore sticks, a documented AI literacy measure toward EU AI Act Article 4, and a realistic picture of where AI actually carries in your process and where it does not.
Pre-scoping with per-team challenge design, a curated tool stack per challenge including access, a facilitated build sprint with support throughout, at least one working prototype per team, a handoff document per prototype with owner, access, open risks, acceptance criterion and next step, and documentation of the AI literacy measure for participants.
Pricing on request for now. The right shape depends on team size, number of challenges and how deep the handoff needs to be.