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AI · ChatGPT · Implementation

Implement ChatGPT in your company. Secure, trained, across the whole team.

We introduce ChatGPT Business for you, clarify data protection, and get your team productive quickly. From pilot to live operation.

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How ChatGPT helps
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Challenge & solution

Why does ChatGPT in a company so often fail to deliver the hoped-for benefit?

Many buy licenses and hope for productivity. Without structure, little happens. Four hurdles, four answers.

Problem
Everyone uses it differently, or not at all
↓
Solution
Clear use cases per department, training, and champions
Problem
Company data ends up in the public version
↓
Solution
ChatGPT Business/Enterprise with data protection and no training on your data
Problem
ChatGPT doesn’t know your internal content
↓
Solution
Phase 1: data preparation. Connection to your documents and systems
Problem
Governance and EU AI Act unresolved
↓
Solution
We build roles, permissions, and compliance straight into the solution
Model

Why start with ChatGPT in your company?

Four reasons why ChatGPT is a good choice for broad rollout across the team.

800M

Familiar to the team

Weekly users worldwide. Many employees already know how to use it, which lowers the barrier to entry.

OpenAI, user numbers 2025
Business

Privacy plan

ChatGPT Business and Enterprise don’t train on your data and offer admin controls.

OpenAI, Business plans
GPTs

Custom assistants

Custom GPTs for recurring tasks, built without programming.

Custom GPTs
Ecosystem

Broad integration

A wide selection of connectors and tools for a fast rollout.

OpenAI platform
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Use cases

Where does ChatGPT create concrete value in a company?

Six areas where Claude takes the load off in everyday work after rollout.

Text & communication

Drafts for emails, quotes, and presentations in seconds.

Research & summarization

Get to the point on long documents by asking the right questions.

Customer service

Draft replies and templates for recurring inquiries.

Custom GPTs

Assistants for departments, trained on your guidelines.

Translation

Quick, usable translations in a work context.

Knowledge access

Make internal content searchable once your data is connected.

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ChatGPT isn’t right for every use case

Not sure whether ChatGPT is right for you? The AI Finder asks you five short questions and gives you a reasoned recommendation.

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Approach

How does Claude AI implementation work?

Four steps from idea to live operation.

01

Workshop

Identify use cases per department, review plan and data situation

Week 1
02

Pilot

Data preparation, integration, first use cases with one team

Weeks 2 to 6
03

Rollout

Training, governance, champions across the whole team

Weeks 7 to 12
04

Operation

Support, new use cases, further development

Ongoing
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Why the approach matters

Most AI projects don’t fail because of the technology.

95%

of AI projects fall short of expectations, mostly without integration into processes.

MIT, State of AI in Business Report 2025
19%

of large companies truly integrate AI agents into their core processes.

Civey / Hochschule der Medien, 2026
82%

of companies in Germany report productivity gains from generative AI.

IW Köln

Frequently asked questions (FAQ):

What you should know before your AI implementation.

For individual use, yes. In a company you need ChatGPT Business or Enterprise so company data stays protected and isn’t used for training.

 

Yes, with the Business plans and the right configuration. We clarify rights, data flows, and the EU AI Act up front and build them into the solution.

Yes, once connected. In phase 1 we prepare your data, then connect ChatGPT to your content via custom GPTs or interfaces.

ChatGPT is widely known and ideal for a quick rollout across the team. We’ll work out honestly in the intro call which model fits you.

A first pilot is usually up in around six weeks. The rollout depends on team size and use cases.

Next step
Your ChatGPT implementation begins
with a conversation.
Book an intro call →
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