AI integration that really helps in everyday work

A website chatbot based on your content can start at €2,500 in the Starter package, depending on scope. Internal assistants connected to your CRM or ticketing system and several AI workflows typically belong in the Professional package from €8,000; we quote company-wide solutions individually as Enterprise. On top of that come the AI provider's ongoing usage costs, which we show transparently.

A first prototype with your data is often ready in a few weeks. Getting to productive use with integration and testing takes longer, depending on scope. We plan in stages so that you can see early on whether the quality is right.

Language models can make mistakes. That is why we have them answer based on your approved content, provide sources and define that the bot hands over to a human when it is uncertain. We check quality with test questions before and after go-live.

We choose providers and settings where, according to the provider's terms, submitted data is not used for training, and we document all data flows. On request, we use models with processing in the EU or self-hosted models. This does not replace legal advice – please clarify data protection questions with your legal counsel.

We work with Claude from Anthropic and models from OpenAI, among others, and choose depending on the task, quality, cost and data protection requirements. We build the architecture so that the model can be swapped later.

After the free initial consultation, we clarify the use case and prepare a transparent quote. Knowledge preparation, prototype, integration and testing follow – and after go-live, ongoing improvement based on real conversations.

Especially worthwhile are tasks with a lot of text and recurring questions: answering and pre-sorting customer inquiries, summarizing documents and emails, making knowledge from manuals findable or reading data from receipts. What matters is to start with a clearly defined use case and to check quality against real examples. Where mistakes would be costly, a human stays in the decision.

A step-by-step approach has proven its worth: collect use cases and rate them by benefit and risk, build a pilot with real data, check the results and only then roll out. In parallel, internal rules for handling AI and questions about data protection or employee co-determination should be clarified – legally with your legal advisor; our notes do not replace legal advice. Technically, we accompany you from workshop to operation.

AI agents are applications that connect a language model with tools and thereby complete tasks independently in several steps – for example looking up information in several systems, drafting a reply and creating a ticket. In a company, they work with clearly limited permissions and logged actions. We have critical steps approved by a human.

RAG stands for retrieval-augmented generation: before every answer, the system searches for relevant passages in your approved documents and passes them to the language model as a basis. As a result, the chatbot answers based on your content instead of only general knowledge and can cite sources. That is the foundation for reliable website and knowledge assistants.

AI consulting clarifies before implementation where AI brings real benefit in your company: we collect use cases, evaluate effort, data situation and risks, and recommend suitable models and providers. The result is a roadmap with prioritized initiatives that also documents the data flows for review by your legal advisor. After that, you decide what gets implemented.