Audience
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to engineering speed in one day onsite, with a prototype for a real growth problem instead of a ChatGPT intro. Need more pace across several teams afterward, you scale up into the multi-day Corporathon hackathon.
Built for
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to
The format
An AI workshop for scaleups, one day onsite that brings functional teams up to engineering speed. Need more, the hackathon follows.
01
Engineering has long used AI tools daily, but sales, support and ops fall behind because nobody had time to bring them along. Processes built for 20 employees break at 80. An AI workshop brings functional teams up to engineering speed in one day onsite, with a prototype for a real growth problem instead of a ChatGPT intro. Need more pace across several teams afterward, you scale up into the multi-day Corporathon hackathon.
02
Challenges from daily growth. An onboarding assistant as a Custom GPT that guides new hires through processes and tools without a senior spending time every round. A support ticket triage bot with n8n that keeps up with customer growth. A process documentation bot with Claude Code that captures implicit knowledge from Slack and Notion in a structured way, plus a growth reporting autopilot with Gamma for investor updates.
03
1. Intro call, clarify growth stage and pain points. 2. Tools and challenges call, pick the automation with the biggest lever. 3. Finalizing data and access, usually fast since the stack is already modern. 4. Preparation of the environment. 5. Hackathon days, tool workshop, sprint, result pitches.
04
A generic training shows functional teams AI tools engineering already knows. The AI workshop delivers the onboarding assistant in one day, speeding up the next hiring wave already. That is the pace a scaleup expects, and the hackathon afterward keeps it up across more teams.
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
An AI workshop for scaleups, one day onsite that brings functional teams up to engineering speed. Need more, the hackathon follows.
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.
We work with the stack that fits you: LLM APIs, automation and data platforms, and your existing systems.
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.