AI solutions that fit into existing IT landscapes, data spaces, and governance structures. From LLM integration through AI assistants to automated workflows.
We bring AI engineering, LLM integration, automation, and governance together into controllable solutions.
Architecture design, AI backends, data pipelines, ERP/CRM integration, custom models.
Model selection, RAG, knowledge assistants, role-based access, prompt architectures.
Document processing, workflow engines, API integrations, decision support.
Access control, monitoring, on-prem options, EU AI Act readiness, audit-ready documentation.
Five phases in which architecture, data, models, governance, and operations are designed together.
Clarify use case, data situation, risks, and target state.
Plan system landscape, data pipelines, models, and integrations.
Implement AI backends, assistants, automations, or custom models.
Integrate roles, permissions, logging, monitoring, and documentation.
Prepare deployment, maintenance, quality assurance, and ongoing development.
For validation and quality assurance, AI Test Automation can be connected as a complement.
Explore AI Test Automation →Not every problem can be solved with generic models. For specific requirements, we develop or train models for classification, forecasting, anomaly detection, or decision support.
AI Services help where AI should be used not as an experiment but as a controlled part of existing processes.
AI systems don’t just have to work. They have to stay controllable. We plan data access, model behavior, logging, and monitoring from day one. Six pillars that aren’t negotiable.
Make model versions traceable with data state and configuration.
Data spaces and permissions are designed deliberately. No implicit access.
Outputs, inputs, and system states are planned to be loggable and analyzable.
Who may use which models, data, and functions is defined in a structured way.
Architecture, data flows, and model behavior for internal and external evidence.
Aligned with ISO 27001, GDPR, NIS 2, and the EU AI Act, coordinated with our GRC team.
Data spaces, permissions, and model access are designed deliberately.
AI connected to existing ERP, CRM, support, or business systems.
Processes, outputs, and decisions are planned to be loggable.
Deployment, monitoring, and governance are designed together.
Solutions are designed to remain maintainable and scalable over the long term.
