As of: 19 June 2026 · Reading time: 4 min
Key takeaways
- Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes.
- The **KI Introduction U...
Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes. The **KI Introduction U...
“The best AI training is not theory-only—it lets participants implement their own use cases immediately.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes.
The KI introduction company promises enormous potentials: from the automation of routine tasks to the optimization of business processes to completely new business models.
But the way to successful implementation is often rocky. Many companies focus too much on the technological component and neglect the decisive factor humans.
A thoughtful change management and the promotion of employee acceptance are, however, the real key to success.
Why the AI introduction is more than just a technology project
Short: Executive answer: Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes.
Executive answer: Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes.
If AI introduction: Change management and acceptance as key to success is on your roadmap, Cost Calculator: AI Development und Discover solutions outline services and next steps.
The implementation of AI systems is not a purely technical matter that can be implemented by the IT department in the silent chamber.
It is deeply involved in the workings, the culture and structure of a company. It is therefore crucial to focus the human side of this transformation from the outset.
The human side of transformation
Short: The introduction of new technologies, especially AI, often triggers mixed feelings for employees.
The introduction of new technologies, especially AI, often triggers mixed feelings for employees.
In addition to curiosity and interest, there can also be uncertainty, fears before the loss of the workplace or worry about over-request.
These concerns are to be taken seriously because they can lead to resistances that endanger the success of the entire project.
An open and transparent dialogue is therefore essential to reduce fears and create confidence.
It is about communicating to employees that AI should not replace them, but support them and enrich their work.
The role of corporate culture
Short: An open and innovation-friendly corporate culture is the breeding ground for a successful KI introduction company.
An open and innovation-friendly corporate culture is the breeding ground for a successful KI introduction company.
When employees are accustomed to new ideas being welcomed and changes being understood as a chance, they are easier to rely on the new technologies. Executives play a decisive role model.
If they experience the benefits of AI and encourage employees to experiment and learn, this contributes significantly to acceptance.
A culture that accepts errors as part of the learning process is also of great importance.
Success factors for AI introduction in the company
Short: In order to fully exploit the potential of AI and master the challenges of implementation, companies should pay attention to a number of success factors.
In order to fully exploit the potential of AI and master the challenges of implementation, companies should pay attention to a number of success factors.
Strategic planning and clear communication
Short: A successful AI introduction begins with a clear strategy.
A successful AI introduction begins with a clear strategy. Companies should analyse precisely what areas the use of AI is giving the greatest benefit and what objectives it can achieve
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
"Privacy by design is an architecture issue—especially when master data is personal."
— Björn Groenewold, Managing Director, Groenewold IT Solutions
Frequently Asked Questions (FAQ)
What is this article about: “AI introduction: Change management and acceptance as key to success”?
This post explores AI introduction: Change management and acceptance as key to success from the perspective of requirements, typical pitfalls, and sensible next steps.
In short: Digital transformation progresses unstoppable and artificial intelligence (AI) develops into a decisive competitive factor for companies of all sizes. The **KI Introduction U...
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. 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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This article is in the AI training topic. In our blog overview you will find all articles; under category AI training more posts on this subject.
For the EU AI Act timeline, risk classes and GPAI obligations in practice, see our pillar guide EU AI Act for mid-sized companies.
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