As of: 19 June 2026 · Reading time: 4 min
Key takeaways
- Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI.
Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI. This progressive...
“Good software is not an accident—it comes from a structured development process with clear quality standards.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
Introduction: The New Era of Artificial Intelligence
Short: Executive answer: Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI.
Executive answer: Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI.
Decision-makers exploring ChatGPT in the company: Future perspectives for an intelligent working… can use AI & Machine Learning, Cost Calculator: AI Development sowie Discover solutions as structured entry points.
Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI.
This advanced language model has revolutionised not only the way we interact with technology, but also offers far-reaching opportunities for companies.
It is more than just a tool; it is a potential partner that can increase efficiency, drive innovation and sustainably secure competitiveness.
In this article, we highlight the future prospects of ChatGPT in the company context and how the ChatGPT integration company can help to build up future-proof and unlock new growth potential.
What is ChatGPT and how does it work?
Short: ChatGPT is based on the Generative Pre-Trained Transformer (GPT), a state-of-the-art language model that has been trained on a huge amount of data using machine learning.
ChatGPT is based on the Generative Pre-Trained Transformer (GPT), a state-of-the-art language model that has been trained on a huge amount of data using machine learning.
These data include a large part of the Internet, books and other sources of text, enabling the model to generate human-like texts, answer complex questions, make translations, write code and much more.
Companies can generally integrate ChatGPT into their own systems, applications and workflows via a programming interface (API).
This allows seamless use of AI functions within the usual IT landscape and opens up a wide range of customized solutions.
Areas of application of ChatGPT in Companies: An overview
Short: ChatGPT's applications in companies are extremely diverse and range from automation of simple routine tasks to support highly complex strategic decisions.
ChatGPT's applications in companies are extremely diverse and range from automation of simple routine tasks to support highly complex strategic decisions. Implementation can create added value in almost every department.
More efficient and personalized customer service
Short: Chatbots in customer service are not new, but with ChatGPT they reach a new level of quality.
Chatbots in customer service are not new, but with ChatGPT they reach a new level of quality. Instead of rigid, script-based responses, they can conduct dynamic, context-related dialogues.
You can understand and edit customer requests in real time, express personalized recommendations and even proactively point to possible problems.
This not only leads to higher customer satisfaction through fast and competent help around the clock, but also relieves the human service workers who can concentrate on the really complex and emotionally demanding concerns.
Revolution in Marketing and Sales
Short: In marketing, ChatGPT can serve as a tireless content generator.
In marketing, ChatGPT can serve as a tireless content generator. Whether blog articles, social media posts, website texts or video scripts – the AI delivers first drafts in seconds, which then ver
References and further reading
Short: The following independent references complement the topics in this article:
The following independent references complement the topics in this article:
- Bitkom – German digital industry association
- German Federal Office for Information Security (BSI)
- European Commission – Digital strategy
- MDN Web Docs (Mozilla)
- W3C – World Wide Web Consortium
"ERP programmes rarely fail on software selection; they fail on unclear process ownership."
— Björn Groenewold, Managing Director, Groenewold IT Solutions
Frequently Asked Questions (FAQ)
What is this article about: “ChatGPT in the company: Future perspectives for an intelligent working world”?
This post explores ChatGPT in the company: Future perspectives for an intelligent working world from the perspective of requirements, typical pitfalls, and sensible next steps.
In short: Artificial intelligence (AI) has made enormous progress in recent years, and one of the most remarkable developments is the introduction of ChatGPT by OpenAI. This progressive...
Who benefits most from the content described here?
Useful for project leads and product owners in Software development 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. For multi-system landscapes, IT consulting and architecture 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

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 2012) and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.
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