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ChatGPT im Unternehmen: Best Practices - Groenewold IT Solutions

ChatGPT in the company: Best Practices

AI training • 23 January 2026

As of: 23 September 2026 · Reading time: 4 min

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Key takeaways

  • ChatGPT in the company: best practices for professional use.
  • Practical tips, applications and safety guidelines.

ChatGPT in the company: best practices for professional use. Practical tips, applications and safety guidelines.

“The best AI training is not theory-only—it lets participants implement their own use cases immediately.”

– Björn Groenewold, Managing Director, Groenewold IT Solutions
In short

Four best practices for productive ChatGPT use in business. Develop company-specific prompt templates, never enter sensitive data in prompts, always validate results through domain experts.

And establish clear usage guidelines for all employees.


ChatGPT has become an vital business tool from the hype theme. More and more companies use the AI assistant to improve processes and increase productivity.

But how to use ChatGPT professionally and safely? This guide will show you best practices, specific applications and important safety aspects for corporate use.

ChatGPT versions for companies

ChatGPT in the company: best practices for professional use.

For ChatGPT in the company: Best Practices, see Cost Calculator: AI Development und Discover solutions on our website for rollout paths and planning.

Before you introduce ChatGPT to the company, you should know the different versions:

Version Price Suitable for Data protection

ChatGPT Free Free Individuals, tests Base

ChatGPT Plus $20/month Power users Base

ChatGPT Team $25/User/month Small teams Expanded

ChatGPT Enterprise On request Companies Maximum level

Recommendation

Short: For professional use we recommend at least ChatGPT Team or Enterprise.

For professional use we recommend at least ChatGPT Team or Enterprise. These versions offer improved data protection: your data is not used for training the AI.

Top 10 Applications by Department

Marketing

Content creation and ideas creation

Use ChatGPT for blog posts, social media posts, newsletter texts and campaign ideas. The AI delivers fast designs that you can refine.

Time saving: Up to 60% for the first text creation

Sales

E-mail templates and promotion

Short: Create tailored sales emails, offers and follow-up messages.

Create tailored sales emails, offers and follow-up messages. ChatGPT can propose different tonalities and argumentation lines.

Saving time: Up to 40% in offerings

HR

Job alerts and onboarding

Form appealing job advertisements, create onboarding materials and answer frequent employee questions.

Time savings: Up to 50% for HR documents

Customer service

Reply templates and FAQ creation

Develop consistent response templates for frequent customer requests and create complete FAQ documents.

Time saving: Up to 70% for standard requests

Product development

Research and documentation

Use ChatGPT for market research, technical documentation and specification creation.

Time savings: Up to 45% for documentation tasks

Safety guidelines for corporate use

  • Personal data of customers or employees

  • Confidential business secrets

  • Passwords or access data

  • Unpublished financial data

  • Patent-relevant information

  • Clear Guidelines: Create binding guidelines, which may be entered and which is not

  • Training: Sensitisation You all employees for data protection risks

  • Enterprise version: Use ChatGPT Enterprise for maximum data protection

  • Anonymization: Remove personal data before entering

  • Check: Check You AI-generated content always before use

Best Practices for Maximum Productivity


Clarity: Where no primary source is named in the text, figures are illustrative; compare Bitkom and Destatis. Project-related statements: Groenewold IT, 2026.

References and further reading

The following separate references complement the topics in this article:

Frequently Asked Questions (FAQ)

What is this article about: “ChatGPT in the company: Best Practices”?

This post explores ChatGPT in the company. Best Practices from the perspective of needs, typical pitfalls, and sensible next steps.

In short: ChatGPT in the company: best practices for professional use. Practical tips, applications and safety guidelines.

Who benefits most from the content described here?

Useful for project leads and product owners in AI training who must choose between standard software, custom development, and integration.

How does this topic fit into an IT or digital strategy?

Technically and organizationally, alignment with experienced partners pays off — from requirements to operations; start with the [services overview](/en/services/artificial-intelligence). For multi-system landscapes, [IT consulting and architecture](/en/services/it-consulting) helps align vendors and internal teams.

What are sensible next steps if we need support?

A practical next step: book a consultation and clarify which MVP or pilot fits your team and landscape.

About the author

Björn Groenewold
Björn Groenewold(Dipl.-Inf.)

Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH

Since 2009 Björn Groenewold has been developing software solutions for the mid-market. He is Managing Director of Groenewold IT Solutions GmbH (founded 2010) and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.

Software ArchitectureAI IntegrationLegacy ModernisationProject Management

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Practical next steps after ChatGPT in the company: Best Practices

ChatGPT in the company: Best Practices addresses a practical choice for product and IT teams. Start with one clear goal: turn a useful AI idea into a governed process with clear data and risk boundaries.

Check the current process, the data involved, and the result users need. Then record the main risks and define a small first step. This keeps the decision easy to review and gives your team a shared basis.

For the EU AI Act timeline, risk classes and GPAI obligations in practice, see our pillar guide EU AI Act for mid-sized companies.

For implementation support, our AI development for business connects the article's guidance with architecture, delivery, and stable operations. Engineering and project ownership stay with our team in Leer, Germany.

This post belongs to AI training. Browse the related AI training articles or use the English software blog for other topics.

When budget is the next question, the software cost calculators provide planning ranges. The IT glossary explains key terms, while in-depth technology guides cover wider decisions.

If the topic affects a live project, book a technical consultation or send the context through our project contact form. We usually reply within one working day.

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