adesso Blog

This article is the first part of our three-part series on the topic of Agentic AI. The ​goal​ is to provide a solid foundational understanding of agent-based AI systems​,​​ serving ​as a basis for decision-making ​regarding​ future investments and organizational developments. Instead of focusing on technical details, the emphasis is on comprehensible orientation questions, highlighting their relevance ​to​ business decisions.

As the world's first comprehensive law on AI, it establishes clear rules and obligations for companies that develop, use, or distribute AI systems—with the aim of making innovation trustworthy and compliant with fundamental rights. However, the law is more than just a legal framework: it offers the opportunity to embed AI strategically, securely, and sustainably in organizations. In this blog post, we show what the EU AI Act means in concrete terms, what obligations companies will face, and what steps are now necessary to be compliant and future-proof.

Insurance companies have a large pool of data at their disposal that is often underutilized, and​ with the help of AI, they can unlock new potential in their interactions with customers. Business models are changing in the direction of Data Driven Insurance. The following article describes what this could look like.

AI agents promise efficiency, speed and autonomy – but they also pose risks. What happens when systems make decisions and act on their own? How can we ensure that they act in the best interests of humans? This blog post examines the governance of AI agents, highlights where traditional control mechanisms fail and outlines the principles that will enable sustainable control in the future.

AI is the real game changer of our time. Advances in generative AI and Machine Learning enable intelligent applications such as Conversational Assistants or Predictive Analytics. However, many companies are struggling to find use cases for AI with real financial added value and have not yet progressed beyond the experimental stage.

In today's digital era, artificial intelligence (AI) is integrated into almost every aspect of our lives and businesses. Although AI takes up such a tremendous amount of our time, energy and attention, few understand the fundamentals of AI. It is therefore not surprising that some consider AI to be a danger. Therefore, it is essential to develop a thorough understanding of AI – a skill referred to as AI literacy. Read more about this in this blog post.

GenAI is one of the most important technological developments in the world in recent years. It offers companies new opportunities and also entails risks. In the DACH region, there are regulatory uncertainties around the integration of generative AI into business models and processes. This blog post is about the opportunities and risks of the technology and proven strategies for safe and responsible use. The goal is to help customers get the most out of it.

In recent months, the AI world has been following the developments surrounding DeepSeek with excitement. With its "R1" model, the Chinese AI start-up sensation has proven that it is possible to achieve comparable performance with far fewer resources than competing products such as OpenAI's ChatGPT or Meta's Llama. This development is not only driving technological progress but is also changing the discussion about the democratization and cost structure of AI. But what do these innovations actually mean for companies and their AI initiatives?

Prompts drive thinking, writing, and creativity – in school, at work, or when using AI. The art of formulating clear and effective prompts can be crucial, whether in the classroom or when working with language models. A well-designed prompt guides responses, sets clear expectations, and invites reflection. This blog post shows how ‘prompt engineering’ is a creative, cognitive approach to helping people and machines perform at their best.