Our approach
What makes us and our services special?
Vimmera AI deliberately does not follow the approach of merely providing software that allows companies to quickly “build something” themselves. Our aim is to develop viable AI systems together with our customers that are reliable, secure, high-quality, and usable in the long term. For us, AI does not emerge overnight and not simply by uploading documents, but through a structured, collaborative, and practice-oriented approach.
A central principle here is: A quick solution is rarely a good solution, especially with AI. In this area in particular, “quick offers” are especially tempting. In a few days, a chatbot is set up, documents are uploaded, and the first answers appear. What is impressive in the short term often remains superficial, unreliable, and not professionally robust in practice. Such systems know neither the real processes nor the actual company knowledge, they deliver contradictory or incomplete results and cannot take responsibility.

These very experiences are a common reason for skepticism towards AI. When initial attempts disappoint, prejudices, uncertainty, and the impression arise that AI cannot be reliably used in the company. In reality, it is not the technology that fails, but the approach. AI must be consciously, professionally, and controllably built, introduced, and operated, with clear rules, a clean knowledge base, and continuous quality assurance.
That is why understanding the organisation always comes first. Workflows, goals, existing IT structures, security requirements, knowledge sources, and realistic application possibilities are analysed together. The focus is not primarily on technology, but on where AI actually creates added value, what benefits it should bring, and how employees can be best supported.
In this context, we usually conduct a so-called DEX analysis. DEX stands for Digital Employee Experience, i.e., the digital work experience of employees. Together, real work processes, digital obstacles, and the use of existing systems are recorded, for example in email processing, customer contact, or offer creation. This results in key figures that enable an objective comparison between the initial situation and the state after the introduction of AI solutions. This makes it visible what concrete benefits the systems bring and where further optimisation makes sense.
A central next step is the systematic work on company knowledge. This knowledge is usually spread across many sources, such as documents, guidelines, protocols, ticket systems, training materials, presentations, technical documents, or service reports. A significant part also lies in the experience of the employees. Vimmera AI identifies these knowledge sources together with the customer, brings them together, structures content, resolves contradictions, and adds missing information, for example through interviews with subject matter experts. This creates a reliable, complete, and quality-assured knowledge base that can be controlled and meaningfully used by AI systems.
On this basis, the AI solutions are developed, integrated into everyday work, and connected to the existing system landscape. Care is taken to ensure that the applications are practical, intuitive, and suitable for everyday use and integrate seamlessly into existing work environments.
Another essential component is quality assurance. Systems and results are tested, reviewed, and continuously developed together with the customers. Customers receive tools to evaluate, supplement, and specifically improve content. This creates a continuous improvement process that ensures the solutions deliver the required quality in the long term.
Even after implementation, Vimmera AI remains an active partner. Knowledge is kept up to date, systems are further developed, and new requirements are integrated. In this way, no short-term AI projects are created, but stable, growing, and future-proof solutions that support companies in the long term.