csauerborn. Scale without hiring.
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Your first AI employees

Hi, I'm Christoph.

Scale withouthiring.

I build AI employees that work inside the tools your team already uses and create capacity. More output with the same team.

Join via WhatsAppHow it works
Christoph Sauerborn on stage in front of a slide reading Context is the difference.
Agent systems, explained live.
Audience at a Brixon AI keynote.
Full room
Christoph Sauerborn talking after a keynote.
In conversation
Christoph Sauerborn explaining an agent architecture on a projection screen.
Agent architecture
Christoph Sauerborn greeting an attendee at an event.
After the talk

Research, Content production, Reporting, Sales briefings, Bookkeeping, Quality assurance, Campaigns, Documentation

Let's be honest

A subscription gives you a chatbot. An AI employee does the work.

Most companies collect AI subscriptions: ChatGPT, Copilot, Claude. Someone still has to operate the tools. AI employees flip that: they move into your existing tools and take on tasks themselves.

The subscription

A subscription waits for your input

A chatbot answers the moment you type. The work stays with your team: tool by tool, click by click.

The AI employee

An AI employee takes on the workflow

An agent works inside your existing tools: research, drafting, quality control, handoff. Like a colleague, from day one.

From subscription to employee

From AI subscription to real AI employees.

Most companies buy AI subscriptions and operate the tools themselves. The next step is AI employees: agents that take on whole tasks and work inside the tools you already use.

Christoph Sauerborn showing an agent architecture on stage.
Architecture Understand first. Then build.

The best agent systems start with clean context.

Christoph Sauerborn talking to an attendee.
Exchange The questions that come after the talk.

This is where AI curiosity becomes a concrete workflow.

Christoph Sauerborn greeting an attendee at a Brixon AI event.
Practice Show it and make sense of it.

Teams need judgment for AI in daily work.

For most teams today

The AI subscription

  • ChatGPT, Copilot, Claude as a chat window
  • Every task kicked off by hand
  • Everyone on the team doing it differently
  • More subscriptions, same bottlenecks
The next step

The AI employee

  • Agents take on whole tasks themselves
  • Inside your existing tools, with data access and QA
  • One system the whole team works with
  • More capacity with the same team
The principle
Hand off tasks.Create capacity.Scale without hiring.
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Who's behind this

AI employees. From my own daily practice.

Christoph Sauerborn speaking at a Brixon AI event and explaining an agent workflow.
Live session: explaining, building, and making sense of agent systems.
  1. 01 RWTH Aachen: Mechanical Engineering
  2. 02 Bosch: digitized factories (Industry 4.0)
  3. 03 Today: AI employees in daily use, Claude Code, MCP, n8n, Custom Agents
Getting started

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