"Just start with AI" is certainly a good credo at the beginning of the AI journey. However, if you want to go beyond prototype applications, have achieved initial AI successes and want to scale them, you should also take a strategic approach to large-scale AI implementation.
While large corporations already have an AI adoption rate of around 40%, this figure is significantly lower in European SMEs: only 10 to 20% of companies have achieved relevant implementations and progress in the field of artificial intelligence to date.
The transition from chatbots to autonomous AI agents has begun: Agentic AI is actively taking over tasks, controlling processes and fundamentally changing the digital world of work.
Artificial intelligence has arrived in the world of work and in society: According to Deloitte, a fundamentally positive attitude towards the potential uses of AI prevails at 56 percent. Many employees and customers increasingly expect AI chatbots and agents to make work and communication easier.
Find out all about the new AI features such as improved data discoverability, AI cost control and aiStudio's CompanyGPT in our Spring Release 2025.
AI agents can be used in engineering firms to automate repetitive tasks, optimizing workflows and reducing errors. Kauz.ai's aiStudio provides a user-friendly platform for creating such agents without programming knowledge. This enhances resource efficiency and supports professionals in solving complex technical challenges.
Kauz.ai launches its second financing round to further expand its AI offering. With the no-code platform aiStudio, the company enables companies of all sizes to use generative AI efficiently - become part of this development as an investor now!
From July 25, 2025, accessibility will be mandatory for websites in Germany and Austria, with transitional periods until 2030. The Accessibility Act (BFSG) affects the public sector, trade and the financial sector, among others.
Insurance companies are increasingly relying on artificial intelligence (AI) to automate processes and provide customers with better advice. According to a study, almost all decision-makers surveyed are investing in AI. However, there are uncertainties due to new EU laws.
Companies use RAG-based AI for efficient customer inquiries and knowledge management. Multi-agent systems extend this with specialized assistants, e.g. for product advice and damage reports - the path to the AI-supported workplace of the future.