AI Workshop for Enterprise and Large Corporations, One Day Onsite
A single leadership seminar fades once daily business resumes, and a company-wide rollout without a visible first proof stays an announcement. The AI workshop addresses exactly that. Leadership builds its own prototype onsite in one day, on the existing stack, with clear governance and IT guardrails. Want to go wider afterward with credibility, scale straight up into the multi-day Corporathon hackathon.
A single leadership seminar fades once daily business resumes, and a company-wide rollout without a visible first proof stays an announcement. The AI workshop addresses exactly that. Leadership builds its own prototype
The format
Knowledge turns into a working prototype.
An AI workshop turns leadership into AI champions in one day onsite, then the hackathon scales it across the company. Adobe case, IT handoff.
01
Where large corporations get stuck with AI
A single leadership seminar fades once daily business resumes, and a company-wide rollout without a visible first proof stays an announcement. The AI workshop addresses exactly that. Leadership builds its own prototype onsite in one day, on the existing stack, with clear governance and IT guardrails. Want to go wider afterward with credibility, scale straight up into the multi-day Corporathon hackathon.
02
What enterprise teams build
Typical leadership-level challenges: a reporting autopilot that prepares metrics automatically for the next board update, an internal knowledge bot for strategy and compliance documents, a meeting-to-action-items tool for leadership rounds, plus role-specific agents in sales, finance or operations. The workshop day delivers the first prototype, the hackathon afterward deepens it across more teams.
03
One week to your hackathon
1. Intro call, clarify goal, levels and governance framework. 2. Tools and challenges call, pick real leadership challenges. 3. Finalize data and access, secure IT approvals. 4. Prepare the environment on your existing stack. 5. Hackathon days, tool workshop, sprint, result pitches.
04
Classic training vs. Corporathon
A training reaches one team and fades afterward. The AI workshop turns leadership into AI champions in one day, who credibly bring the rest of the company along, with measurable output the same day instead of a statement of intent. The hackathon that follows carries that momentum 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
Clear steps from scope to handoff.
01
Intro call
Corporathon + sponsor · goal, scope and date
02
Challenge design
Corporathon + team leads · real use cases and tool stack
03
Data & access
Client · approved data, roles and boundaries
04
Tool workshop
Corporathon · teams can use the stack
05
Hackathon sprint
Teams · working prototypes
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 workshop turns leadership into AI champions in one day onsite, then the hackathon scales it across the company. Adobe case, IT handoff.
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.
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.
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.