AI Workshop
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.
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,
The format
The AI workshop or hackathon is the start. Then AI Implementation Sprint, Recurring Hackathon Series and AI Enablement Program keep AI in daily work.
01
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
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
03
The table compares ways of working, not vendors, and deliberately contains no invented percentages. Reliable figures only come from your own baseline.
04
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,
Output, not slides
A hackathon 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
Corporathon + sponsor · goal, scope and date
Corporathon + team leads · real use cases and tool stack
Client · approved data, roles and boundaries
Corporathon · teams can use the stack
Teams · working prototypes
Next step
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
The AI workshop or hackathon is the start. Then AI Implementation Sprint, Recurring Hackathon Series and AI Enablement Program keep AI in daily work.
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 attestation and do not guarantee automatic compliance. The company must assess appropriateness by role and risk.
Usually not for smaller formats. As soon as production systems are connected, we bring IT and security in early.
There is no proof of participation at the end, there is a working result: built workflows that keep running in daily operations.
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.