AI Workshop

What Is an AI Hackathon?

At Corporathon the entry point into AI is always the AI workshop, one day onsite, on one real problem from your team. If that day shows there is more to build, you move into the AI hackathon, the multi-day scale-up of the same principle with several teams and several prototypes at once. This article explains what sits behind the hackathon format and how it differs from the single workshop day.

  • Real prototypes instead of slides
  • Facilitated by AI practitioners
  • Ready to run within a week
  • Documented handoff included
Team im Austausch während des SprintsTeilnehmende im Plenum eines KI-Hackathons

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At Corporathon the entry point into AI is always the AI workshop, one day onsite, on one real problem from your team. If that day shows there is more to build, you move into the AI hackathon, the multi-day scale-up of

The format

Knowledge turns into a working prototype.

An AI hackathon is the multi-day scale-up of the AI workshop day. Definition, the difference from the workshop, and the one-week process explained.

01

Distinction from a classic hackathon

The classic hackathon comes from software development and often runs a weekend as a competition among developers. The hackathon takes that energy and points it at the business day-to-day. Participants need no coding skills. They work with Lovable, Cursor, n8n, Gamma, Claude Code and Custom GPTs on their own data and processes.

02

From AI workshop to AI hackathon

Spark, the AI workshop, is the starting point. One day, one team, one focused problem, a running prototype by evening. Ignite and Blaze scale that same process up to several days and several teams at once. Anyone who already knows the workshop day finds the same way of working in the hackathon, just with more reach across the company.

03

Process in 1 week

A hackathon runs one to five days depending on format, with prep in the same week. The lead-up is four steps (intro call, tools and challenges call, finalizing, prep), then tool workshop, hackathon sprint and result pitches. The full process is at /en/how-we-work/.

04

What comes out at the end

Each team presents what it built, and the best solutions go straight into production. A training becomes a workpiece that stays: a prototype, an automation, a dashboard. Plus an internal AI literacy measures record for participants.

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

Join a hackathon or plan your own

Gewinnerteam mit Hackathon-Trophäe

How it works

Clear steps from scope to handoff.

01

Intro call

Corporathon + sponsor · goal, scope and date

Intro call
02

Challenge design

Corporathon + team leads · real use cases and tool stack

Challenge design
03

Data & access

Client · approved data, roles and boundaries

Data & access
04

Tool workshop

Corporathon · teams can use the stack

Tool workshop
05

Hackathon sprint

Teams · working prototypes

Hackathon sprint

Next step

Ready for your hackathon?

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 hackathon is the multi-day scale-up of the AI workshop day. Definition, the difference from the workshop, and the one-week process explained.

No. The hackathon is built for business teams. You work with tools like Lovable, n8n, Gamma and Custom GPTs that need no classic coding. The opening tool workshop gets everyone to the same level.

One to five days depending on format. Spark runs as the AI workshop for one day, Ignite two, Blaze three to five. From first contact to the result pitches takes one week, including prep.

Training delivers knowledge passively and ends with a proof of participation. An AI hackathon has you build actively and ends with a working result. Retention is much higher, and so is AI adoption.

A working prototype that you own and put into production. Instead of an attendance record you have something that runs, plus a documented competence record.

Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.

All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.

You get a documented handoff: prototypes, setup, open items and a recommendation on which results deserve to go to production.

We define target metrics before the sprint, hours saved, cycle time, quality or revenue contribution, and review them in the closing session.

Slots are usually available within two to four weeks. With a clearly scoped use case it can be sooner.

Usually not for smaller formats. As soon as production systems are connected, we bring IT and security in early.