Audience

AI Workshop for Agencies, One Day Onsite

Account managers have heard of ChatGPT, but daily work full of reporting, briefs and client requests leaves little room to actually build AI into the workflow. An AI workshop brings your team together onsite for one day and builds on real account work, not sample data from a course. Need more speed across several teams and accounts afterward, you scale straight up into the multi-day Corporathon AI hackathon.

  • 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

Built for

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Account managers have heard of ChatGPT, but daily work full of reporting, briefs and client requests leaves little room to actually build AI into the workflow. An AI workshop brings your team together onsite for one day

The format

Knowledge turns into a working prototype.

An AI workshop for marketing and creative agencies, one day onsite on real client accounts. Need more scale, move on to the AI hackathon.

01

Where agencies get stuck with AI

Account managers have heard of ChatGPT, but daily work full of reporting, briefs and client requests leaves little room to actually build AI into the workflow. An AI workshop brings your team together onsite for one day and builds on real account work, not sample data from a course. Need more speed across several teams and accounts afterward, you scale straight up into the multi-day Corporathon AI hackathon.

02

What agency teams build

Typical challenges: a content pipeline that drafts and repurposes, a cross-channel performance dashboard, creative-variation generators and QA assistants that catch errors before a client does. Built with Lovable, n8n, Gamma, Cursor and Custom GPTs, with no coding needed from account managers.

03

In 1 week to your hackathon

1. Intro call, clarify goal and teams. 2. Tools and challenges call, set real account tasks. 3. Finalize data and access. 4. Prepare the environment. 5. Hackathon days: tool workshop, sprint, result pitches.

04

Classic training vs. Corporathon

A course tells account managers about ChatGPT. The AI workshop has them build a tool in one day that drafts next week's report. Need more reach across several teams, the hackathon is the natural next step. That is why adoption sticks.

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 for marketing and creative agencies, one day onsite on real client accounts. Need more scale, move on to the AI hackathon.

Yes, and it works best that way. We agree data access and handling upfront, work within your and your clients' security requirements and use only approved datasets. Building on real account work is exactly what keeps adoption after the week.

All of them. Strategists and account managers automate reporting and briefs, creatives iterate variations faster, analysts build dashboards. Most tools need no coding, so the whole agency ships, not just a technical few.

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.