Custom AI Development for Companies
I design, build and implement custom AI solutions for companies: from RAG systems and internal chatbots to document automation, digital workflows and integration into existing systems. The focus is on production-ready, scalable solutions rather than AI demos.
Why many AI projects never reach production
Many companies see the potential of AI, but there is often a large gap between a demo, a pilot and a production-ready system.
Too many tools, no real system
Individual tools may work in isolation, but nothing is properly integrated. What is missing is a solid technical architecture.
Documents slow everything down
PDFs, emails, notes and internal content are scattered across different places. The knowledge exists, but it is not easily accessible.
Manual processes create friction
Repetitive tasks still rely on copy & paste, spreadsheets and manual routines instead of clean automation.
Agency overhead is not the right fit
You do not need a large structure. You need someone who can think strategically and implement technically.
Custom AI solutions for companies
I support companies with the design, development and implementation of AI systems, web applications and automation that are actually useful in day-to-day operations.
RAG systems & intelligent knowledge search
I build RAG solutions that make internal documents, policies, PDFs and knowledge bases accessible through a central search or chat interface. Useful for support, operations, HR or sales.
Internal AI assistants & chatbots
I develop internal chatbots and AI assistants for recurring questions, knowledge access and team workflows — technically solid, connected to real sources and built for practical use.
Document automation & digital workflows
Processing PDFs, forms, emails and structured data with AI — for extraction, classification, summarization and integration into digital workflows and operational processes.
Integration into existing systems
I integrate AI functionality into existing web applications, internal tools and backend systems — using Python, Django and APIs with an architecture that remains maintainable and extensible.
Solution design, development & implementation
I support AI projects from requirements analysis and technical planning to development and implementation of production-ready systems. The goal is not just a test run, but a solution with real value.
Further development, operations & scaling
Good AI development does not stop at the demo. I focus on robust implementation, clean handover and a technical foundation that can grow with your business.
Typical use cases for AI development
AI is especially valuable where knowledge is distributed, documents need to be processed, digital workflows take too much time, or existing systems need to become smarter.
Internal knowledge search
Employees can find answers from documents, PDFs, Notion pages or internal policies through a central AI interface.
- Make policies and SOPs searchable
- Provide answers with source references
- Reduce repeated internal questions
Back office & operations
Routine work can be partly automated: emails, documents, checks, routing or pre-structuring content.
- Classify documents automatically
- Extract and pass on data
- Reduce manual operational effort
AI functionality inside a product
An existing digital product gets a meaningful AI feature — for example search, summarization, assistance or personalization.
- Integrate LLM features into the backend
- Build UI/UX around a real user task
- Create a clean, extensible technical setup
Technical depth for production-ready AI systems
I hold a degree in Computer Engineering and work at the intersection of AI development, backend engineering and digital product implementation.
My focus is on custom software development with AI — not on isolated demos, but on systems that can actually be used in real business environments.
I support companies with the design, development and implementation of web applications, automation and AI solutions — remote worldwide.
What working together can look like
Clear scope, clear outcomes, no unnecessary overhead.
AI Feasibility Sprint
1–2 weeks · focused analysis phaseFor companies that want to evaluate an AI use case properly and define a realistic implementation path for a production-ready system.
- Use case refinement
- Feasibility assessment
- System outline & technical recommendation
- Recommended next steps for MVP or production setup
Production AI Solution
4–10 weeks · from concept to implementationFor teams that want to build a concrete AI solution and integrate it into existing systems, workflows or web applications.
- RAG systems & internal chatbots
- Document automation
- Integration into existing systems
- Technical implementation with Python & Django
- Handover, deployment notes & foundation for further growth
Technical Sparring Partner
ongoing or project-basedFor founders, product teams and companies that want an experienced technical partner for AI strategy, architecture and implementation decisions.
- Architecture review
- Evaluation of ideas and risks
- Model and tool selection
- Technical prioritization
Frequently asked questions about AI development
What does AI development actually mean?
For me, AI development is not just connecting a model to a user interface. It includes data flows, business logic, integrations, user interaction and a technical solution that works reliably in real operations.
Do you only build prototypes?
No. I also support MVPs and pilot projects, but my main focus is on production-ready systems, scalable solutions and integration into existing software and workflows.
What kind of companies benefit from AI development?
Especially companies that rely on internal knowledge, process many documents, lose time in manual workflows or want to make existing web applications more intelligent.
Do you only work in Germany or Berlin?
No. I work remotely with companies, teams and founders worldwide. My location is Berlin, but the collaboration itself is not limited to Berlin or Germany.
Can you integrate AI into existing systems?
Yes. In many cases, that is more useful than building a completely new system. I can integrate AI functionality into existing web applications, internal tools and backend systems.
Planning an AI project for your company?
Let’s talk. In a first conversation, we can clarify whether your idea can be scoped realistically and what a sensible path toward a production-ready implementation could look like.
Get in touch →