Success Stories

What teams really build in a hackathon

Not pilot projects in a vacuum, but prototypes on real tasks, real data and real tools. Four examples from our work.

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Insights from our hackathons

What participants build, what leaders say afterwards and what we learn from every format.

Adobe logoLeadership Enablement

Five leadership AI agents for the executive team

The hackathon was aimed at the leadership team, up to 20 people. Goal: managers become AI champions and then train their own sub-teams. That is how competence scales from the top down through the whole company.

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Results

  • Email reply assistant that pulls context from the inbox, replies in the manager's own tone and triages incoming mail
  • Daily briefing agent that bundles to-dos and commitments from emails and chats into a clear daily overview
  • Meeting-to-action-items that turns transcripts into owners, deadlines and next steps
  • Executive reporting autopilot that pulls data and produces a board-ready update
  • Internal knowledge bot for questions on strategy, policies and playbooks from the company's own documents
YOYABA logoPerformance Marketing

AI workflows for a performance marketing organisation

Teams from strategy, creative and paid media built on their real tasks instead of listening to slides. The sprint produced a content pipeline and a performance dashboard across several channels.

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Results

  • Content pipeline across several channels with AI-assisted creation and approval
  • Performance dashboard that bundles channel data and comments on it automatically
  • Role-specific assistants for strategy, creative and paid media
  • Hackathon vlog as documented proof of the format
Onventis logoProcurement / SaaS

From tool workshop to a running prototype in 24 hours

Day 1 started with AI foundations and a tool workshop, followed by ideation, kickoff and a sprint on real procurement tasks. After 24 hours a running prototype was in place, not a concept paper.

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Results

  • Automated proposal and report creation for recurring processes
  • Internal knowledge bot built from the company's own documents
  • AI policy assistant for safe use of AI across the team
  • IT handoff package for a clean transition into operation
NavVis logoEngineering

Engineering teams build their own AI tools

Instead of lectures, engineering teams worked with modern AI tools on their own development problems, understanding the opportunities and limits of the technology from their own experience.

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Results

  • Code review tool with AI-assisted feedback in the team's own repo context
  • Automated test generation for existing modules
  • A skills library that keeps what was learned in-house
  • Internally trained AI champions acting as multipliers

Your task becomes the next challenge

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Discovery Call

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In about 30 minutes we clarify which roles are affected by Art. 4 EU AI Act, where your AI literacy stands today and which real task works as a hackathon challenge.

Participants at a Corporathon AI hackathon

Tim Jamboula

Founder, Corporathon

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FAQ

Frequently asked questions

What decision-makers want to know before the first hackathon, kept short and to the point.

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