case studies
General AI case studies
Three projects show how AI solutions from Sellium GmbH in Chemnitz work in practice – from voice dialogues and workflows to the sales assistant.

Conversational AI: intelligent voice dialogues around the clock
The AI phone assistant combines speech understanding, dialogue intelligence and process automation into a new customer experience. It understands enquiries in natural language, recognises intent and responds contextually, politely and efficiently – with no hold queue.
Thanks to modern speech-to-text and text-to-speech technologies and the integration of current large language models (LLMs), the assistant conducts complex conversations, answers questions, arranges appointments or forwards calls precisely.
Connected to CRM systems, calendars or internal databases, it reacts context-aware and can automate workflows – from first contact to complete processing. All processes are GDPR-compliant.
The result is an intelligent assistant that digitises your communication – understandable, reliable and always ready.
AI-Driven Automation: intelligent workflows connect systems.
When automation does not just follow but thinks ahead. With low-code platforms such as n8n or Make process automation becomes intelligent. Combining low-code workflows with artificial intelligence creates dynamic processes that not only move data but understand and improve decisions.
Instead of executing static rules, AI-supported workflows analyse context, data and patterns in real time. Emails are classified automatically, leads prioritised, customer enquiries answered or reports generated – autonomously, traceably and adaptively.
The integration of LLMs, RAG systems or AI APIs enables a new level of automation: workflows do not just react, they learn. Intelligent error handling, monitoring and continuous optimisation create an infrastructure that thinks along and grows.
The result: end-to-end automation that connects your tools, data and decisions – efficient, scalable and in line with your business logic.


Next-Gen Sales Assistant: AI meets customer experience
Imagine an AI sales assistant that supports you in difficult meetings by answering the really tricky questions about your product portfolio and recent offers. Multilingual. Easy to use. Modularly extensible.
A user-friendly interface offers options for user management, multilingualism, saving chat histories and exporting them. It is responsive on various devices such as desktop computers, tablets and mobile phones.
Cloud-based or local AI inference using the latest LLMs such as GPT-4o, Mistral, Qwen 3 or Claude 4. Retrieval-augmented generation (RAG) improves language models: the system allows the LLM to access and use external knowledge, improving the accuracy, relevance and specificity of generated content. We rely on vector databases combined with knowledge graphs. Text-to-speech or speech-to-text: cloud-based or local voice input and output with state-of-the-art models.
Unlike ChatGPT, the assistant runs on local infrastructure – on premise. It thereby guarantees 100% data sovereignty.
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