The analysis meeting – from understanding to structure
After the introductory meeting, the next decisive step follows: the analysis meeting. This is no longer about a first mutual introduction, but about a systematic, joint understanding of your organization.
In this meeting, we begin the structured company analysis based on DEX (Digital Experience & Execution) – the analysis and impact framework from Vimmera AI.
The goal is to gain an objective, reliable picture of how your company actually works: not just on paper, but in real-life practice.
If desired, we can take a further step to conduct a detailed DEX analysis of individual work areas or processes. -More on this in the next step.
What is the analysis meeting for?
The analysis meeting creates the foundation for any meaningful AI implementation. Because only when it is clear where processes stall, where knowledge is lost, where time is tied up, and where risks arise, can it be decided where AI truly adds value – and where it does not.
In the analysis meeting, we jointly record:
how information flows through your organization
where waiting times, follow-up questions, or media disruptions occur
which tasks tie up particularly large amounts of time
where knowledge is tied to individual people
which systems support – and which rather slow down
This creates a realistic picture of your working reality that goes far beyond formal process descriptions.
What happens specifically?
In the analysis meeting, we bring together the relevant perspectives of your company: your professional view, your processes, your systems, and the experiences of your employees are linked with structured analysis methods. Documents, process information, system landscapes, and real workflows are not considered in isolation, but brought together in a common context.
Building on this, your ideas for AI implementation are combined with the actual workflows and the experience of Vimmera AI. Together, we develop a solution that is not only technically possible, but also professionally meaningful, organizationally viable, and economically effective. At the same time, the next steps are clearly defined in this phase, so that initial ideas become a reliable implementation plan.
Already in the analysis meeting, the EU AI Act is also taken into account. Together, we check which regulatory, legal, and ethical requirements are relevant for your planned AI applications. Because not every technically possible idea is also permissible or sensible. Vimmera AI deliberately ensures clarity here, so that later restrictions, rescheduling, or legal risks are avoided.
This creates a solid framework for AI implementation from the very beginning, enabling innovation without endangering security, responsibility, or compliance.
What you get out of it
After the analysis meeting, you have a reliable basis for decisions:
Where is the greatest leverage for improvements?
Which areas of application really make sense?
Which measures promise the greatest benefit?
What is allowed and where are there legal and/or regulatory limits?
Instead of gut feeling or standard solutions, you receive a well-founded, structured basis for decision-making – professionally comprehensible and tailored to your organization. This ensures that AI is not introduced just anywhere, but exactly where it delivers the greatest added value.
In short:
The analysis meeting translates the introduction into clarity. It makes visible where your company stands today, where AI can have a concrete impact tomorrow, and what the next concrete steps look like.
The introductory meeting – the first step towards effective AI The use of artificial intelligence in companies does not begin with technology, but with understanding.That’s why every collaboration with Vimmera AI starts with a structured introductory meeting. This meeting serves to truly understand your organization, your challenges, and your goals. It is not a sales […]
The analysis meeting – from understanding to structure After the introductory meeting, the next decisive step follows: the analysis meeting.This is no longer about a first mutual introduction, but about a systematic, joint understanding of your organization. In this meeting, we begin the structured company analysis based on DEX (Digital Experience & Execution) – the […]
The DEX Analysis – Clarity About Your Organization The DEX Analysis (Digital Experience & Execution) is the foundation of every successful AI implementation with Vimmera AI. It creates an objective, reliable picture of how your organization actually works – not just on paper, but in real everyday life. After the analysis meeting, we can, if […]
The collection of company knowledge – making everything visible Before AI can use, understand, and reliably provide knowledge, this knowledge must first be fully and correctly captured. That is precisely why the systematic collection of company knowledge is one of the most important steps on the way to an effective AI solution. This is expressly […]
Data preparation – from raw material to networked corporate knowledge Once the corporate knowledge has been fully collected, the step begins that decisively determines how powerful, reliable, and useful the later AI will actually be: data preparation. In this phase, a large number of individual files, texts, media, system extracts, and experience reports are, for […]
Data Verification – Creating Trust in Knowledge and AI After company knowledge has been collected and structured, cleaned, and linked together during data preparation, the step follows that turns information into truly reliable knowledge: data verification. In this phase, it is decided which content may actually be considered valid, binding, and actively usable. Because even […]
Embeddings & vector search – enabling AI to find and use knowledge precisely After knowledge has been collected, processed, and verified, the next step ensures that the AI can later access this knowledge quickly, precisely, and in the right context: chunking, embedding, semantic processing, and the creation of vector databases (vector stores). This step is […]
The selection of LLMs – the right AI brain for your tasks After knowledge has been structured, verified, and technically prepared so that it can be found and used precisely, the next central step follows: the selection of Large Language Models (LLMs). LLMs are the “thinking machines” behind AI – they determine how language is […]
Additional security mechanisms – protection for knowledge, systems, and results In addition to selecting and combining the appropriate LLMs, another important step is implemented depending on the requirements and area of application: the implementation of additional security mechanisms. Because your knowledge is valuable, and it deserves the same protection as any other business-critical system. Vimmera […]
Prompt Engineering – Giving AI a Clear Identity After the company knowledge has been collected, processed, and verified, another central step follows: prompt engineering. In this phase, it is determined how the AI thinks, responds, and acts. Vimmera AI takes this step in close coordination with you, because this is not about technology, but about […]
In addition to the knowledge base from documents and verified company knowledge, it may be useful or necessary—depending on the application—to connect additional data sources. This includes the additional implementation of databases, business systems, and other data interfaces, for example via modern integration standards such as MCP. The background is simple: Not everything an AI […]
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Rollout & Introduction – Bringing AI into Everyday Work Step by Step After all technical, content-related, and organizational foundations have been established, the rollout phase begins. In this step, the AI is not simply “activated,” but is introduced into real everyday work in a controlled, guided, and coordinated manner. The goal is for the AI […]
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Joint fine-tuning before go-live – ensuring quality before it counts After AI has been introduced in initial teams or departments, a targeted phase of joint optimization, adjustment, and error correction follows – even before the system goes live company-wide. This phase is crucial to turn a functioning solution into a truly robust, practical AI. Pilot […]
the productive start of your AI After the successful pilot phase and joint fine-tuning comes the decisive moment: the go-live. In this step, the AI is officially activated for productive use within the entire defined scope. From now on, it is no longer just a pilot project, but a permanent part of your working environment. […]
Measure impact, identify potential, develop in a targeted way After the go-live, the phase begins in which it is decided whether AI has not only been “introduced” but has actually become effective. This is exactly why the DEX analysis is carried out a second time. It is not a formal conclusion, but a deliberately set […]
so that your AI remains valuable in the long term With the go-live and the second DEX analysis, the AI has successfully arrived in your company. But just like your company itself, your AI does not stand still. Products change, processes are adjusted, new insights emerge, markets and requirements continue to develop. At the same […]
Transparency, Security and Long-Term Usability A professional AI system is only as good as its traceability. That is why documentation at Vimmera AI is not a by-product, but a central component of every solution. It ensures that your AI system not only works today, but also tomorrow, in a year, and in a changed organizational […]