Why AI Engineering for Your Business?

Artificial intelligence is no longer a future concept — it is practically usable today and can give your business a real competitive advantage. From intelligent chatbots for customer service and automated workflows to customized AI assistants: I help you deploy AI precisely where it creates the most value.

Unlike generic AI solutions, I build systems tailored to your specific business processes, product workflows and data. That includes internal copilots, team assistants, rapid prototypes for new product ideas and reliable integrations that are ready for production use.

My AI Engineering Services in Detail

LLM Integration

I integrate large language models like OpenAI GPT-4, Anthropic’s Claude, Meta’s Llama or local open-source models into your existing systems. Integration happens through cleanly defined APIs that flexibly adapt to your requirements.

Chatbots & Conversational AI

Intelligent chat assistants for customer service, internal knowledge bases or virtual assistants. My chatbots understand context, learn from interactions and integrate seamlessly into your website or app.

RAG Architectures (Retrieval-Augmented Generation)

RAG is the most effective approach to connect AI with your own data. Instead of training the model, your documents, manuals or databases are searched and the most relevant information is passed to the AI in real-time. The result: precise, fact-based answers without hallucinations.

AI Workflow Automation

Automate complex workflows with AI decision components. From automatic content generation and intelligent data analysis to process-driven decision making.

Prompt Engineering & System Design

An AI system is only as good as its configuration. I develop optimized prompts and system instructions that deliver consistent, reliable and business-relevant results.

AI Consulting & Strategy

Not every problem needs an AI solution. In a structured analysis I identify the areas of your business where AI creates real value — and where traditional approaches are better suited.

AI Engineering Use Cases

Customer Service: Intelligent chatbots that automatically handle common inquiries
Knowledge Management: Searchable knowledge bases with natural language queries
Content Creation: AI-powered text generation, translation and summarization
Data Analysis: Automated analysis of large datasets with AI
Process Automation: AI-driven workflows for repetitive tasks
Product Development: AI copilots for research, specs, prototyping and internal tools

Frequently Asked Questions About AI Engineering

How much does integrating an AI chatbot cost? Costs depend heavily on complexity. A simple FAQ chatbot starts at approximately €2,000. Complex RAG systems with custom knowledge bases range from €5,000 to €15,000.

Do I need my own servers for AI solutions? Not necessarily. Many solutions can be implemented cloud-based. For data-sensitive applications I recommend a hybrid architecture or on-premise operation.

How do we prevent AI hallucinations? Through RAG architectures and careful prompt engineering, hallucinations are minimized. The AI bases its answers on your actual data and documents.

Can I use existing AI models or do I need custom training? In most cases, integrating existing models (GPT-4, Claude, Llama) combined with RAG is perfectly sufficient. Custom model training is rarely needed and only makes sense for very specific use cases.

AI Engineering