5 teams, 24 hours, we ended up with five working prototypes shipping this week.
Service
Spark
One day, one problem, up to 10 participants and one working prototype.
The fastest entry into working with AI: one day, one clearly scoped process, one result that runs by the evening.
Duration
1 day
Group size
up to 10 participants
Result
1 working prototype
Key facts
Why teams book this sprint
From tool test to result
Confidence with the stack
A basis for decisions
One working prototype in the approved tool stack
Handoff documentation including prompts and workflows
Recording of the closing demo
1
day sprint
10
participants
1
prototype
Teams that have built with us
Social proof
What participants post on LinkedIn
Original posts from real Corporathon hackathons, embedded straight from LinkedIn.
View on LinkedIn
Outcomes
What comes out of it
No slide deck, but prototypes, automations and routines that keep running after the sprint.
From tool test to result
Instead of demos your team builds on a real pain point and sees the same day what AI does inside its own process.
Confidence with the stack
Everyone works with the same setup of models, automations and prompts — and keeps using it afterwards.
A basis for decisions
You end with a recommendation: keep building, scale or drop it — with effort and value documented.
Agenda
How the sprint runs
Every phase has a clear goal and a visible result, so the time in the room is spent building.
01 · Pre-work
Discovery and challenge selection
In a call we sharpen the use case, check data access and prepare all accounts.
02 · Morning
Setup and first iteration
Short intro, then straight into building: prompting, automations and a first run on the real example.
03 · Afternoon
Build until it runs
We sit with the team, unblock and push the prototype to a robust state.
04 · Wrap-up
Demo and handoff
Team demo, documentation of the solution and a clear recommendation for the next 30 days.
Scope
What is included and who it fits
Scope, audience and crew at a glance so you can decide internally fast.
What you take away
- One working prototype in the approved tool stack
- Handoff documentation including prompts and workflows
- Recording of the closing demo
- A 30 day recommendation for what comes next
Ideal for
- Teams kicking off AI adoption
- One clearly scoped process pain point
- Up to 10 participants from one department
You work with
- Facilitator and AI engineer
- Prompt and automation coach
Numbers
The sprint in key figures
The core figures from previous runs of this format.
1
day sprint
10
participants
1
prototype
More services
Other services in comparison
The formats build on each other. Moving up a level is possible at any time.
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.
OW
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NT
NavVis Team
Marketing & ops
After day one, people who had never opened a terminal were building in Claude Code.
OW
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NT
NavVis Team
Marketing & ops
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
Frequently asked questions
The questions that come up most often in the discovery call.
Teams kicking off AI adoption. One clearly scoped process pain point. Up to 10 participants from one department.
No. We facilitate so business teams from marketing, sales, operations or HR build themselves. Developers go deeper.
Usually one week: scoping call, use case selection, access and tool setup.
All three work. On site creates the strongest momentum, remote is leaner logistically.
You decide which data enters the sprint. Access and limits are agreed upfront and we only use approved material.
You do. Prototypes, automations, prompts and generated code belong to your company after the sprint.
The stack is adapted to your environment: models, automation and data platforms plus your existing systems.
You get a documented handoff with open points and a recommendation on which results to take into production.
Yes. The services build on each other and you can switch after the first sprint.
As soon as date and use case are set. Two to four weeks of lead time is typical.