5 teams, 24 hours, we ended up with five working prototypes shipping this week.
Blog
All Corporathon articles and playbooks.
Comparisons, frameworks, EU AI Act context and practical AI adoption from the full content package.
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01
AI Hackathon vs. AI Training: the honest comparison
AI training delivers knowledge and a shared baseline. An AI hackathon delivers a working prototype and adoption. Training is the cheaper entry when teams start from zero. The hackathon is the stronger lever when work must visibly change afterwards. For many companies the best answer is a sequence, not an either-or. Teams starting with Corporathon usually begin with the one day AI workshop onsite and scale up into the multi day hackathon compared here once the need grows.
Playbook5 min read
02
AI hackathon vs. professional development: certificate or prototype?
AI professional development is a structured, often multi-session program that builds knowledge and ends with a certificate. An AI hackathon is a facilitated sprint that ends with a working prototype and documented application. Development suits broad, HR-driven skill building and funding logic. The hackathon suits situations where a specific process must visibly change afterwards. For many HR teams the strongest answer is a combination, not an either-or. At Corporathon the practical entry point for that is the AI workshop, one day onsite, which scales into the multi day hackathon compared here once the need grows.
Playbook6 min read
03
AI hackathon vs. AI workshop: input or shipped output?
This comparison uses "AI workshop" for the classic, facilitated ideation and alignment session sold by many providers, one that produces alignment, ideas and shared understanding but builds nothing. An AI hackathon is a sprint that produces a working prototype and a handoff. The classic workshop suits situations where the goal, use cases and priorities are still unclear. The hackathon suits situations where the goal and case are already clear and a built result is needed. The expensive mistake is booking a pure ideation workshop when everything is already clear, or a hackathon when nothing is decided yet. Corporathon's own AI workshop is different, it is itself a hands-on build day, one day onsite with a running prototype by evening, and the entry point into the hackathon compared here.
Playbook7 min read
04
AI hackathon vs. consulting: slides or prototype?
AI consulting delivers analysis, strategy and recommendations, usually as a report or slide deck. An AI hackathon delivers a working prototype and capability that stays in the team. Consulting suits strategic questions where a well-grounded outside view is missing. The hackathon suits situations where the direction is roughly set and what is missing is implementation plus internal capability. The most expensive case is a deck that ends up on the shelf because no one can implement it. At Corporathon this path usually starts with the AI workshop, one day onsite, which scales into the multi day hackathon compared here once the need grows.
Playbook6 min read
05
AI adoption playbook: how teams start building in one week
AI adoption rarely fails on tool access and almost always on the bridge between learning and daily work. A playbook that works picks a real process, gives it an owner, builds a prototype in one week, and afterwards measures usage instead of attendance. This playbook describes the five building blocks, an honest cost logic, and a worked ROI model you can replace with your own numbers. At Corporathon the full one-week flow usually runs inside the multi day hackathon, the entry point on a smaller time budget is the AI workshop, one day onsite.
Playbook6 min read
06
EU AI Act competence records through AI hackathons
Since 2 February 2025, Article 4 of the EU AI Act requires a sufficient level of AI literacy among staff, by role and context. It requires no specific format and no official certificate. An AI hackathon can be such a measure and can document practical application, because people demonstrably worked with real tools on real tasks. The practical entry point is often the AI workshop, one day onsite, which can then grow into the multi-day Corporathon hackathon. That is a building block of the documentation, not automatic compliance. The company assesses the adequacy of its overall program itself.
Playbook6 min read
07
Spark, Ignite, Blaze: which AI hackathon format fits?
Corporathon offers the AI workshop and two Corporathon hackathon formats. Spark is the AI workshop, one day onsite for up to ten participants, and suits the first spark as an entry point. Ignite is two days for ten to fifteen people and suits building a prototype. Blaze is three to five days for fifteen and more and suits several teams or more complex cases. Whoever starts with the workshop can scale straight into Ignite or Blaze if needed. The choice follows from the number of teams, the ambition of the result and available time, not from budget alone.
Playbook6 min read
08
Prototype ROI: how an AI hackathon makes impact measurable
The ROI of an AI prototype is not a number you promise but one you measure. An AI hackathon makes impact measurable, because a real artifact stands at the end whose usage can be compared against a baseline taken beforehand. The AI workshop, one day onsite, often delivers that first prototype, which can then grow into the multi-day Corporathon hackathon. Set a baseline, a target metric and a measurement point before the start, and you get a defensible return instead of a claim. This article shows the measurement framework and a worked model.
Playbook6 min read
09
Build AI champions: from tool test to internal movement
AI champions are employees who use AI tools confidently and pull colleagues along. You do not appoint them; they emerge from doing. An AI hackathon is a good starting point, because it creates real wins, visibility and a shareable result. That often starts with the AI workshop, one day onsite, which can then grow into the multi-day Corporathon hackathon. A single win becomes a movement when champions get mandate, time and a channel to share what they can do. This article shows the framework, an honest cost logic and a worked model.
Playbook6 min read
10
AI hackathon provider selection: buyer checklist
A good AI hackathon provider names scope, facilitation, data boundaries, deliverables, owner and handoff traceably before the start. They promise no flat prices without variables, no guaranteed compliance and no official certificate. The same criteria apply to the AI workshop as an entry point, one day onsite, which can then grow into the multi-day Corporathon hackathon. The strongest selection signal is whether a working prototype plus handoff stands at the end, not whether the slides look nice. This checklist gives an evaluation framework, red flags and a worked model.
Playbook6 min read
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
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FAQ
Frequently asked questions
AI training delivers knowledge and a shared baseline. An AI hackathon delivers a working prototype and adoption. Training is the cheaper entry when teams start from zero. The hackathon is the stronger lever when work must visibly change afterwards. For many companies the best answer is a sequence, not an either-or. Teams starting with Corporathon usually begin with the one day AI workshop onsite …
AI professional development is a structured, often multi-session program that builds knowledge and ends with a certificate. An AI hackathon is a facilitated sprint that ends with a working prototype and documented application. Development suits broad, HR-driven skill building and funding logic. The hackathon suits situations where a specific process must visibly change afterwards. For many HR …
This comparison uses "AI workshop" for the classic, facilitated ideation and alignment session sold by many providers, one that produces alignment, ideas and shared understanding but builds nothing. An AI hackathon is a sprint that produces a working prototype and a handoff. The classic workshop suits situations where the goal, use cases and priorities are still unclear. The hackathon suits …
AI consulting delivers analysis, strategy and recommendations, usually as a report or slide deck. An AI hackathon delivers a working prototype and capability that stays in the team. Consulting suits strategic questions where a well-grounded outside view is missing. The hackathon suits situations where the direction is roughly set and what is missing is implementation plus internal capability. The …
AI adoption rarely fails on tool access and almost always on the bridge between learning and daily work. A playbook that works picks a real process, gives it an owner, builds a prototype in one week, and afterwards measures usage instead of attendance. This playbook describes the five building blocks, an honest cost logic, and a worked ROI model you can replace with your own numbers. At …
Since 2 February 2025, Article 4 of the EU AI Act requires a sufficient level of AI literacy among staff, by role and context. It requires no specific format and no official certificate. An AI hackathon can be such a measure and can document practical application, because people demonstrably worked with real tools on real tasks. The practical entry point is often the AI workshop, one day onsite, …
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.