AI Consulting for Enterprises AI-Integrated Solutions & Consulting
Noxum integrates chatbots and language models into your existing systems in a GDPR-compliant way, from initial consulting to ongoing operation. Workshops and hands-on implementation included.
Noxum's holistic approach to AI integration for sustainable business success
The strategic integration of Artificial Intelligence (AI) is crucial for modern companies that want to increase their competitiveness and create innovative business value. At Noxum, we not only offer AI-integrated solutions, but also specialized workshops and consulting services. Our in-depth expertise in AI is aimed at optimally supporting our clients in the implementation and utilization of these transformative technologies. The focus is on generating sustainable business success through intelligent automation, efficient data analysis and personalized user experiences.
Our AI integrations with Large Language Models (LLM):
Automated content creation and personalization
The integration of generative AI models (e.g. GPT, Claude or Gemini) into your Headless CMS NovaDB shortens content creation time noticeably and relieves your marketing and product management teams. Automated, personalized content, whether for flyers, brochures, websites or online stores, tailored to different customer groups, increases customer satisfaction and strengthens customer loyalty as your offers become more relevant. The automation provided by generative AI models in NovaDB PIM supports the effective implementation of strategic e-commerce goals.
Authoring Support: Quality and Consistency
High-quality, consistent product information is vital for trust and smooth e-commerce experiences. By integrating LanguageTool, NovaDB ensures automated checks of grammar, style, and consistency—reducing manual effort and boosting both content quality and efficiency.
Innovative assistance: AI chatbots for HR and customer service
Potential of AI-driven chatbots in HR and customer service: Noxum's contribution to practical implementation
The dynamic development of artificial intelligence (AI) and the increasing use of large language models (LLMs) are opening up new, innovative ways to optimize business processes in the areas of human resources (HR) and customer service. Noxum not only understands the transformative power of these technologies, but also has the expertise to help organizations fully leverage the potential of AI chatbots.
AI chatbots in the HR sector
AI chatbots offer significant benefits for HR departments. By automating repetitive tasks such as answering questions about company policies, benefits and onboarding processes, they enable more efficient use of HR resources. These AI-driven systems are available around the clock and provide employees with immediate access to the information they need. This not only increases employee satisfaction, but also optimizes onboarding times and efficiency. By integrating LLMs, the chatbots are able to understand natural language requests and respond to them in context, making interactions particularly user-friendly.
AI chatbots in customer service: efficiency and quality around the clock
In customer service, AI chatbots enable fast and efficient responses to customer inquiries. This technology can cover a wide range of questions, from simple product inquiries to more sophisticated support requests. AI-driven chatbots provide instant responses, significantly increasing customer satisfaction and reducing the burden on service teams. By using LLMs, chatbots ensure consistent and high-quality customer interactions, even during peak times or outside of business hours.
In addition, the continuous analysis of chatbot interactions could provide valuable insights into customer preferences and behavior. This data could be used to further improve and customize customer service, which could ultimately lead to even stronger customer loyalty. AI chatbots in customer service would therefore not only be a tool for increasing efficiency, but also a strategic instrument for optimizing the customer relationship.
While chatbots answer questions, AI agents carry out entire process steps on their own, for example changing an order, booking an appointment or initiating a return. Current industry forecasts suggest a growing share of customer interactions in 2026 is already being handled by such autonomous agents. Learn more about our approach to AI agents in CMS and PIM on our AI agents page.
Noxum's expertise in practical AI implementation
Noxum supports companies in the introduction of these advanced technologies into their existing systems. Our comprehensive expertise includes initial consulting, design, custom solution development, implementation and ongoing optimization. We tailor our approaches to the unique requirements and goals of each organization to ensure that the integration of AI provides the greatest possible benefit. For an overview of our AI automation capabilities in NovaDB, see our AI in NovaDB overview page.
Navigating data protection aspects in the use of AI with Noxum
In addition, Noxum helps companies navigate the requirements of the EU AI Act (Regulation (EU) 2024/1689) and the GDPR (Regulation (EU) 2016/679) when deploying AI systems. We strive to implement solutions that are not only powerful but also compliant and responsible. As of: July 2026. This article does not replace individual legal advice.
In summary, Noxum's deep technical and industry expertise provides a valuable partnership for organizations interested in practical implementation of AI technologies. As a technology leader in the field of information management systems, we are ideally positioned to support you on your digital transformation journey. Contact us to learn how we can advance your organization with customized AI solutions.
LLM & AI workshops
1-day workshop
Our workshop is aimed at professionals from various industries who are interested in using a large language model (LLM) such as GPT, Claude or Gemini and want to learn more about the application possibilities and potentials in the business world. In this workshop, we will not only give an introduction to the LLM, but also discuss practical examples and use cases. In addition, we will look at the challenges and limitations of LLM and discuss ways to overcome them. We are also happy to tailor the content of the workshop to your individual needs.
We tailor our workshop content specifically to your needs. Possible content could include
- Introduction to the LLM: What is a Large Language Model and how does it work?
- Practical examples and applications of the LLM in companies
- Development of application scenarios and use cases in your company
- Training the LLM for specific applications and tasks
- Challenges and limitations when using the LLM in the business sector
- Data protection and data security in connection with the LLM
- Hosting the LLM in the cloud (e.g. Azure, AWS, Google Cloud) or on-premise
Frequently asked questions about AI integration and language models
Yes, in most cases without retraining: Retrieval-Augmented Generation (RAG) is the standard approach today, the language model retrieves relevant passages from your own documents or product data at query time instead of being retrained on them. Fine-tuning remains an option for very specific, recurring tasks, but is no longer required for most use cases such as first-level support or product Q&A.
Yes, most major providers offer EU-hosted, GDPR-compliant options, for example Azure OpenAI Service (EU regions such as Amsterdam), AWS Bedrock or Google Vertex AI. In these setups, your data stays under your own control and is not shared with the underlying model provider for training purposes.
No, if you run your own instance in a cloud environment such as Azure, AWS or Google Cloud, your data remains under your full control and is not shared with the model provider or other customers. Companies can run their data and applications in a secure, isolated environment.
Our experience shows that DeepL is still qualitatively ahead of general-purpose LLMs such as GPT, Claude or Gemini in pure translation quality. What LLMs do better is adjusting tone: you can translate and rewrite text specifically for certain target audiences or countries, for example tailored to the American market or emphasizing certain product features. With DeepL Write, DeepL is also moving in this direction; you can try it yourself at DeepL Write.
Yes, an EU-wide transparency obligation for chatbots applies from August 2026 under the EU AI Act (Regulation (EU) 2024/1689): users must be able to recognize that they are interacting with an AI system. This obligation is unaffected by the 'Digital Omnibus' package agreed in May 2026, which postponed many of the AI Act's broader high-risk obligations to 2027/2028, the chatbot transparency duty itself was not part of that postponement. As of: July 2026. This article does not replace individual legal advice.