services
AI Integration
AI integration by Sellium GmbH turns company-specific business processes into AI-powered automation in compliance with GDPR – from workflow to AI agent. Sellium does not just advise on the topic, we implement. Together we identify company-specific processes and transform them into AI-powered automation with measurable value.
why ai
Why integrate AI
Value only emerges once AI is safely embedded in everyday work – in workflows, systems and decisions.
Optimise processes
AI automates routine tasks, saves time and creates room for value-adding work.
Support decisions
Through intelligent analysis, AI turns complex data volumes into concrete recommendations for action.
Create precision
Forecasts and decisions are based on facts, not estimates – with measurably better results.
Detect risks early
Predictive analytics helps identify deviations or problems before they become a risk.
Secure competitiveness
Companies that use AI strategically react faster to market changes and stay fit for the future.
services
Services
Use-case design
AI integration according to customer-specific goals, KPIs and data situations. From chatbot to AI agent.
Integration by goals, KPIs and data situation
The success of AI projects does not depend on technology alone but on its targeted embedding in existing business processes. The focus is therefore not the algorithm but the benefit for the company. The starting point is the client's strategic goals, key figures (KPIs) and existing data base. On this basis we work out where artificial intelligence creates real added value – through efficiency gains, process automation, better forecasts or personalised customer experiences.
The next step is integration into existing systems and workflows. Data flows are analysed, interfaces designed and pilot solutions implemented that are measurably aligned with the defined KPIs. The result is a practical, scalable AI solution that not only works but is precisely tuned to individual business goals and data structures. Technology becomes a clear competitive advantage – intelligently integrated, data-driven and measurable against goals.
Models & GenAI
Prompting, fine-tuning and definition of guardrails – tailored to the domain.
From prompt to domain-specific model
In generative AI, precision counts as much as creativity. The goal is not to build arbitrary models but ones that fit a company's domain, language and culture exactly. Targeted prompting, fine-tuning on company-specific data and the definition of clear guardrails ensure that AI models act in a controlled, traceable and responsible way.
Guardrails balance freedom and safety: you define what the model may do, how it responds and which limits it respects. Combined with prompt-based control knowledge and fine-tuned parameters, the result is an AI that fits precisely into existing processes – tailored to your domain, powerful and safe at the same time.
Automation & RPA
End-to-end workflows with low-code platforms (e.g. n8n, Make, Zapier) and error handling.
Intelligent workflows without limits
With low-code platforms such as n8n, Make or Zapier, complex business processes can be automated today without classic programming – fast, scalable and transparent. From data capture through communication and reporting to system integration, end-to-end workflows emerge that connect and accelerate processes and minimise human error.
A particular focus is on error handling and process stability. Every automation is designed to react to exceptions – through intelligent retry logic, alternative paths and monitoring mechanisms. The result: reliable digital routines that not only take over processes but actively improve them. A new level of efficiency – from idea to implementation, fully integrated into existing systems and perfectly aligned with your business logic.
Infrastructure planning & implementation
Provision of infrastructure for AI use in GDPR-compliant data centres or on premise.
A secure foundation for AI solutions
Powerful AI needs a stable, scalable and privacy-compliant technical foundation. In infrastructure planning and implementation we develop tailored architectures for the secure use of AI – whether in GDPR-compliant data centres or on-premise environments. All relevant requirements are considered: from GPU-based compute clusters through data storage and access controls to monitoring, backup and scaling.
With clear architecture plans, automated provisioning (infrastructure as code) and documented security concepts we lay the foundation for trustworthy AI systems that can be operated efficiently in any environment – secure, performant and compliant. With full data sovereignty if desired: on premise in your own building, in a private cloud or as shared sovereignty with clearly regulated control.
comparison
Workflow or AI agent?
Both automate processes, but they solve different tasks. The choice determines effort, traceability and operating costs.
| Criterion | Automated workflow | AI agent |
|---|---|---|
| Flow | Fixed sequence of steps, defined in advance | Plans steps itself and chooses tools according to the situation |
| Suitability | Recurring tasks with clear rules: checking invoices, transferring data, generating reports | Open tasks with changing context: answering enquiries, researching, preparing cases |
| Traceability | Every step is deterministic and verifiable | Decisions need guardrails, logging and approval levels |
| Technology | Low-code platforms such as n8n, Make or Zapier | Language model with tool access, RAG and defined guardrails |
| Getting started | Quick to implement, low operating costs | Higher design effort, but a much broader range of use |
typical use cases
Typical use cases
Demand & sales forecasts
Forecasting for purchasing & supply chain
Invoice & contract review
Automatically extract, check and route documents
Predictive Maintenance
Predict failures, reduce downtime
Intelligent service for customers and employees
Chat and voice bots for first-level support or HR, knowledge search, ticket prioritisation
Risk assessment & fraud
AI-based scoring models and anomaly detection
Marketing optimisation
Segmentation, next best action and attribution
faq
Frequently asked questions
How long does a consulting engagement take?
Depending on company size and the number of business areas, the duration varies from a few weeks to months. We are happy to advise you in a personal conversation.
Which data do we need?
Process data/logs, master data and, where relevant, documents – we also start with incomplete data via workshops and sampling.
How do you ensure data protection?
We follow a privacy-by-design / Privacy First AI approach. That includes role-based access, pseudonymisation and GDPR-compliant processing.
How does success with AI become measurable?
Through the intelligent, process-oriented definition of KPIs that allow objective evaluation during the process.
contact
Let's talk
Happy to help with anything AI. We will get back to you promptly.
Get in touch
Thank you for your message.
We will get back to you shortly. If it is urgent, you can reach us at +49 371 524 99 140 or contact@sellium.ai.