5 teams, 24 hours, we ended up with five working prototypes shipping this week.
AI Workshop
After the AI Workshop or Hackathon, So AI Stays in the Day-to-Day
The AI workshop day or the larger hackathon lights the spark. So the prototypes do not gather dust in a folder and the new energy does not fade in two weeks, there are three follow-up offers that build on each other. You choose what fits your team's pace and maturity, from the AI Implementation Sprint through the Recurring Hackathon Series to the AI Enablement Program. The speed promise holds here too, fast steps instead of month-long plans. 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 problem the follow-up offers solve. A good hackathon creates a short adoption peak. The teams are energized, the first prototypes run, everyone talks about AI. This is exactly where many programs fail, beca
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
The format
Knowledge turns into a working prototype.
H1: After the AI Workshop or Hackathon, So AI Stays in the Day-to-Day
01
Benefits and goals
The goal is not a second nice event. The goal is that the investment in the first hackathon does not fade: prototypes become productive tools with a clean IT handoff, a peak becomes stable recurring use, individual knowledge becomes a shared skills library and role model, and a single team success becomes a capability the whole organization carries, plus continuously documented AI literacy measures toward Article 4.
02
Deliverables
Implementation Sprint: a production-ready tool per selected prototype, documentation, sorted access rights, IT handoff, named owner and acceptance criterion. Recurring Series: a quarterly hackathon with fresh challenges, a growing skills library, an adoption check per round, an ongoing competence record. Enablement Program: a milestone plan over three to six months, hackathons combined with sprints, a role model, a shared knowledge base and adoption reporting against your own baseline. Across all stages: a clear ne
03
One-off event vs. lasting anchoring
The table compares ways of working, not vendors, and deliberately contains no invented percentages. Reliable figures only come from your own baseline.
04
How the value can add up (a model, not a client number)
A follow-up offer pays off when the ongoing value carries the extra cost. Three inputs and one formula, computed over a year instead of a sprint: the number of prototypes moving from hackathons into production, hours saved per week per prototype set realistically, and internal hourly rate times affected people. Formula: *prototypes × hours saved per week × hourly rate × 45 working weeks × people − cost of the follow-up stage*. A model example with invented, clearly labelled numbers: three productive prototypes, two
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.
01
Intro call
Corporathon + sponsor · goal, scope and date
02
Challenge design
Corporathon + team leads · real use cases and tool stack
03
Data & access
Client · approved data, roles and boundaries
04
Tool workshop
Corporathon · teams can use the stack
05
Hackathon sprint
Teams · working prototypes
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.
H1: After the AI Workshop or Hackathon, So AI Stays in the Day-to-Day
No. You start with a hackathon and decide afterwards whether and how to continue. We recommend honestly what fits your goal, without pressure and without forced packages. Many begin with one format and add a follow-up stage only later.
It turns prototypes into operations. Instead of nice demos, after two to four weeks you have productive tools with a clean IT handoff, including documentation, error handling and access rights. What was built in the hackathon then runs reliably in daily work.
The series is the rhythm, not a repeat of the same thing. One run per quarter with new teams and challenges keeps adoption high and fills your skills library. Competence becomes a habit instead of a memory of one good day.
For organizations that want to anchor AI broadly, not in a single team. Over three to six months you build competence, routines and a skills library, with measurable adoption as the goal and continuously documented competence measures.
Pricing is on request for now. The shape depends on the number of prototypes in the sprint, the rhythm of the series and the length of the program. In the discovery call you get an honest read on which stage pays off for you.
You do. Prototypes and the tools made productive in the sprint belong to the company, including documentation and handoff to your IT. We build with you, not as a black box beside you.
Hackathons, sprints and the Enablement Program can document ongoing AI literacy measures and support Article 4, but they are not an official certificate and do not guarantee automatic compliance. The company must assess appropriateness by role and risk.
A good hackathon creates a short adoption peak. The teams are energized, the first prototypes run, everyone talks about AI. This is exactly where many programs fail, because nothing follows. The peak drops as soon as daily work returns, and a promising start becomes a nice memory. Four concrete gaps cause it: the prototype is not yet operations and stays a demo without clean edges, sorted rights …
Three stages that build on each other. AI Implementation Sprint (2 to 4 weeks) takes the strongest prototypes into production: smoothing rough edges, sorting access and rights, catching error cases, handoff to your IT. The tool then runs reliably with documentation and a named owner. Recurring Hackathon Series (quarterly) runs one hackathon per quarter with new teams and challenges, turning …
The goal is not a second nice event. The goal is that the investment in the first hackathon does not fade: prototypes become productive tools with a clean IT handoff, a peak becomes stable recurring use, individual knowledge becomes a shared skills library and role model, and a single team success becomes a capability the whole organization carries, plus continuously documented AI literacy measures toward Article 4.