Does our client data stay confidential?

Yes. You keep full data sovereignty, we work only within the agreed scope and with your accounts. If needed we start on anonymized or sample data.

Is it worthwhile for small consulting firms too?

Yes, small teams benefit especially because every hour won back counts directly. The Spark format runs one day for up to 10 people and fits many boutiques.

What does the firm keep after the week?

A working prototype used on the next engagement, a team that actually applies the tools, and the documented internal AI literacy measures record.

How big does our team need to be?

The Spark format runs in one day with up to 10 people, Ignite over two days with 10 to 15, Blaze over three to five days from 15 people. Pricing on request in the discovery call.

Industry

AI Workshop for Consulting Firms, One Day Onsite

Consulting firms lose time to work that is not billable. Research for pitches and projects pulled together from scattered sources. Proposals rewritten for every engagement. Decks built from meeting notes that cost whole nights. Knowledge from closed projects that disappears into folders instead of helping the next mandate. The AI workshop, one day onsite, starts exactly there. Your team builds a first assistant for one of these steps in a single day, facilitated by AI practitioners, on your real data instead of samples. Need more than one prototype, you scale straight into the multi-day Corporathon hackathon, with a documented competence record under EU AI Act Art. 4, mandatory since 02 February 2025.

Real prototypes instead of slides
Facilitated by AI practitioners
Ready to run within a week
Documented handoff included

Book a discovery call See the process

Teilnehmende im Plenum eines KI-Hackathons

Built for

The format

Knowledge turns into a working prototype.

AI workshop for consulting firms, one day onsite. Build a research or proposal assistant, then scale into the multi-day Corporathon hackathon.

Where consulting firms lose time

What the team builds

Challenges from consulting life. A research agent with NotebookLM that pulls together market and competitor sources. A proposal assistant as a Custom GPT that draws text blocks from past engagements. A deck generator with Gamma that turns notes into a client deck. A meeting-to-action-items tool for client calls, plus an internal knowledge bot with n8n and Claude Code for methods and playbooks.

One week to your hackathon

1. Intro call, we understand engagements, teams and pain. 2. Tools and challenges call, we pick the automations with the biggest lever. 3. Finalizing data and access, project archive, templates, CRM. 4. Preparation, we set up environment and sample data. 5. Hackathon days, tool workshop in the morning, sprint on the prototype, pitches at the end.

Classic training vs. Corporathon

A training shows consultants AI on slides. A hackathon delivers the research agent that prepares the next pitch deck while the team is with the client. For a business that sells time, that is the difference that counts.

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.

Intro call

Corporathon + sponsor · goal, scope and date

Challenge design

Corporathon + team leads · real use cases and tool stack

Data & access

Client · approved data, roles and boundaries

Tool workshop

Corporathon · teams can use the stack

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.

AI workshop for consulting firms, one day onsite. Build a research or proposal assistant, then scale into the multi-day Corporathon hackathon.

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.

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.