Audience

AI Workshop for Private Equity and Portfolio Companies, One Day Onsite

A central training program rarely reaches every portfolio company equally well, since processes, systems and teams differ from holding to holding. An AI workshop instead runs directly inside the portfolio company, one day onsite with its own data and team, and delivers a result that shows up in the value creation plan. Need more across several holdings afterward, the multi-day Corporathon hackathon follows, repeatable per portfolio company.

  • 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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A central training program rarely reaches every portfolio company equally well, since processes, systems and teams differ from holding to holding. An AI workshop instead runs directly inside the portfolio company, one

The format

Knowledge turns into a working prototype.

An AI workshop per portfolio company, one day onsite with a result the board can see. Need more, the hackathon follows. Book a discovery call.

01

Where private equity firms get stuck with AI

A central training program rarely reaches every portfolio company equally well, since processes, systems and teams differ from holding to holding. An AI workshop instead runs directly inside the portfolio company, one day onsite with its own data and team, and delivers a result that shows up in the value creation plan. Need more across several holdings afterward, the multi-day Corporathon hackathon follows, repeatable per portfolio company.

02

What portfolio teams build

Challenges tied directly to the value creation plan. A reporting autopilot with Gamma that prepares metrics automatically for the next board deck. A due diligence research assistant with NotebookLM for market and competitor analysis on add-on acquisitions. A cross-portfolio knowledge transfer bot with n8n that makes successful automations from one portfolio company accessible to others, plus function-specific prototypes in sales, finance or operations depending on the holding.

03

One week to your hackathon

1. Intro call, clarify portfolio company, goal and value creation plan. 2. Tools and challenges call, pick the automation with the biggest lever for this company. 3. Finalize data and access at the specific portfolio company. 4. Prepare the environment. 5. Hackathon days on site, tool workshop, sprint, result pitches.

04

Classic training vs. Corporathon

A central program shows portfolio teams AI in a standard deck. The AI workshop delivers a company-specific prototype in one day that goes straight into the next quarterly report. The hackathon afterward carries the format across more holdings.

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 workshop per portfolio company, one day onsite with a result the board can see. Need more, the hackathon follows. Book a discovery call.

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.

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.