As of: 19 June 2026 · Reading time: 4 min
Key takeaways
- **The introduction of artificial intelligence (AI) has become a strategic necessity for many companies.
- But how to identify the right applications that are the biggest ...
**The introduction of artificial intelligence (AI) has become a strategic necessity for many companies. But how to identify the right applications that are the biggest ...
“The best AI training is not theory-only—it lets participants implement their own use cases immediately.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
AI use cases are identified systematically: screen business processes with high manual effort, recurring patterns, and available data, then prioritize by ROI potential and feasibility.
Typical starter use cases: document classification, customer inquiry routing, and demand forecasting.
**The introduction of artificial intelligence (AI) has become a strategic necessity for many companies. But how do you identify the right applications that promise the greatest added value?
A careful analysis and a structured approach are crucial for a successful AI introduction in the company. **
At a time when technological innovations progress rapidly, companies from all industries face the challenge of fully exploiting the potential of artificial intelligence.
Identification of meaningful AI-use-cases is the first and most important step.
It is about identifying specific tasks or processes in which AI creates real benefits, whether through cost reductions, increases in sales or the development of new business models.
Ask the right questions: From the business goals to the AI strategy
Short: Executive answer: **The introduction of artificial intelligence (AI) has become a strategic necessity for many companies.
Executive answer: **The introduction of artificial intelligence (AI) has become a strategic necessity for many companies.
For Identify AI-Use-Cases: Where is the stake?, see Cost Calculator: AI Development und Discover solutions on our website for implementation paths and planning.
The starting point for identifying AI applications should always be the higher-level corporate strategy. Instead of being dazzled by the technological possibilities, it is crucial to focus on the actual business objectives.
Ask yourself where the shoe presses most? Where do we see the greatest potential for improvements?
Three central impact directions for AI-Use-Cases
- ** Cost reduction:** In many cases the reduction of operating costs is a primary objective. AI can make a significant contribution here by automating repetitive tasks, improving processes or improving resource use. One example is the AI-based automation of customer service, which can increase productivity by up to 45%.
- ** Increase in sales:** AI can also help increase sales by personalizing customer experience, increasing conversion rates or enabling new data-driven business models. An AI-based free text search in an e-commerce shop can significantly improve customer satisfaction and thus sales figures.
- **Strategic objectives:**In addition to direct financial benefits, AI can also contribute to achieving strategic objectives such as innovation leadership, the development of new markets or the improvement of cooperation in the company. The analysis of market trends using AI can, for example, lead to the development of new products faster and to secure competitive advantages.
Top-down vs. Bottom-up: Find the Right Approach for Your Business
Short: Initiating AI projects, there are basically two approaches that have proven themselves in practice and should ideally be combined:
Initiating AI projects, there are basically two approaches that have proven themselves in practice and should ideally be combined:
| Approach | Description | Benefits |
|---|---|---|
| Top-down Management provides clear goals and resources. | Strategic orientation, Priority, financial support |
Method note: External statistics refer to published industry and official data (Bitkom, Destatis) where not otherwise attributed. Company-specific figures: Groenewold IT, 2026.
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
Frequently Asked Questions (FAQ)
What is this article about: “Identify AI-Use-Cases: Where is the stake?”?
Here we cover Identify AI-Use-Cases: Where is the stake? — focused on architecture, process, and business outcomes.
In short: **The introduction of artificial intelligence (AI) has become a strategic necessity for many companies. But how to identify the right applications that are the biggest ...
Who benefits most from the content described here?
Typical readers are business and IT leaders in AI training who want to secure quality, security, and maintainability over the long term.
How does this topic fit into an IT or digital strategy?
In a digital strategy, prioritize stable core processes first, then extensions. See also professional software development and consulting. For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.
What are sensible next steps if we need support?
If you need support with design, delivery, or modernization: schedule an appointment or outline your project via contact.
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.
For topics like AI training we offer matching services – from app development and AI integration to legacy modernisation and maintenance. We describe typical use cases under solutions. Our cost calculators give initial estimates. Key terms are in the IT glossary. Books and long-form guides appear on the publications page; deeper articles live under topics.
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