5 teams, 24 hours, we ended up with five working prototypes shipping this week.
ai hackathon scaleup
AI Workshop for Scaleups and Digital-Natives, One Day Onsite
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to engineering speed in one day onsite, with a prototype for a real growth problem instead of a ChatGPT intro. Need more pace across several teams afterward, you scale up into the multi-day Corporathon hackathon.
- Real prototypes instead of slides
- Facilitated by AI practitioners
- Ready to run within a week
- Documented handoff included


Built for
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to eng
Customer voices
What participants publicly say about the hackathon
Summarised takeaways from approved LinkedIn posts by teams that built with us.
From “I should really learn AI” to a shipped product, with zero coding experience.
No months of prep needed: a team, a bit of chaos, and it turned into a working product.
5 teams, 24 hours, we ended up with five working prototypes shipping this week.
From “I should really learn AI” to a shipped product, with zero coding experience.
After day one, people who had never opened a terminal were building in Claude Code.
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NavVis Team
Marketing & ops
After day one, people who had never opened a terminal were building in Claude Code.
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NavVis Team
Marketing & ops
The format
Knowledge turns into a working prototype.
An AI workshop for scaleups, one day onsite that brings functional teams up to engineering speed. Need more, the Corporathon hackathon follows.
01
Where scaleups get stuck with AI
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to engineering speed in one day onsite, with a prototype for a real growth problem instead of a ChatGPT intro. Need more pace across several teams afterward, you scale up into the multi-day Corporathon hackathon.
02
What scaleup teams build
Challenges from daily growth. An onboarding assistant as a Custom GPT that guides new hires through processes and tools without a senior spending time every round. A support ticket triage bot with n8n that keeps up with customer growth. A process documentation bot with Claude Code that captures implicit knowledge from Slack and Notion in a structured way, plus a growth reporting autopilot with Gamma for investor updates.
03
One week to your Corporathon
1. Intro call, clarify growth stage and pain points. 2. Tools and challenges call, pick the automation with the biggest lever. 3. Finalizing data and access, usually fast since the stack is already modern. 4. Preparation of the environment. 5. Hackathon days, tool workshop, sprint, result pitches.
04
Classic training vs. Corporathon
A generic training shows functional teams AI tools engineering already knows. The AI workshop delivers the onboarding assistant in one day, speeding up the next hiring wave already. That is the pace a scaleup expects, and the hackathon afterward keeps it up across more teams.
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

How it works
Clear steps from scope to 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.
An AI workshop for scaleups, one day onsite that brings functional teams up to engineering speed. Need more, the Corporathon hackathon follows.
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to engineering speed in one day onsite, with a prototype for a real growth problem instead of a ChatGPT intro. Need more pace across several teams afterward, you scale up into the …
Challenges from daily growth. An onboarding assistant as a Custom GPT that guides new hires through processes and tools without a senior spending time every round. A support ticket triage bot with n8n that keeps up with customer growth. A process documentation bot with Claude Code that captures implicit knowledge from Slack and Notion in a structured way, plus a growth reporting autopilot with …
1. Intro call, clarify growth stage and pain points. 2. Tools and challenges call, pick the automation with the biggest lever. 3. Finalizing data and access, usually fast since the stack is already modern. 4. Preparation of the environment. 5. Hackathon days, tool workshop, sprint, result pitches.
A generic training shows functional teams AI tools engineering already knows. The AI workshop delivers the onboarding assistant in one day, speeding up the next hiring wave already. That is the pace a scaleup expects, and the hackathon afterward keeps it up across more teams.
We already use plenty of AI tools, what does this add? The hackathon brings in the teams left out so far, usually sales, support and ops. You get no ChatGPT intro, but a prototype for a real growth problem. Does the format match our pace? Yes, that is exactly what it is built for. In just 1 week from first contact to finished prototype, without a months-long consulting process that does not match …
For teams in marketing, sales, operations, product and IT. Coding skills are not required — the facilitation is built so every team ships a working prototype.
Usually one week: scoping call, use-case selection, access and tool setup. After that the sprint is ready to run.
You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.
You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.
We work with the stack that fits you — LLM APIs, automation and data platforms, and your existing systems.




