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KI-Use-Cases identifizieren: Wo lohnt sich der Einsatz? - Groenewold IT Solutions

Identify AI-Use-Cases: Where is the stake?

AI training • 11 January 2026

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

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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
In short

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 grouping, customer inquiry routing, and demand forecasting.


The introduction of artificial intelligence (AI) has become a strategic need for many companies. But how do you find the right applications that promise the greatest added value?

A careful review and a structured approach are crucial for a successful AI introduction in the company.

At a time when technical 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

The introduction of artificial intelligence (AI) has become a strategic need for many companies.

For Find AI-Use-Cases: Where is the stake? , see Cost Calculator: AI Development und Discover solutions on our website for rollout paths and planning.

The starting point for identifying AI applications should always be the higher-level corporate strategy.

Instead of being dazzled by the technical options, it is crucial to focus on the actual business goals.

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 major 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 goals: In addition to direct financial benefits, AI can also contribute to achieving strategic goals such as innovation leadership, the development of new markets or the improvement of teamwork in the company. The review of market trends using AI can, for example, lead to the development of new products faster and to secure competitive benefits.

Top-down vs. Bottom-up: Find the Right Approach for Your Business

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

The following separate references complement the topics in this article:

Frequently Asked Questions (FAQ)

What is this article about: “Identify AI-Use-Cases: Where is the stake?”?

Here we cover Find 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 need for many companies. But how to find 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 ease of upkeep 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

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 Identify AI-Use-Cases: Where is the stake?

Identify AI-Use-Cases: Where is the stake? 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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