Implement AI solutions that work in everyday operations
After strategy and concept work comes implementation. In AI development and integration, we bring planned solutions into productive use — technically sound, securely integrated, and aligned with your teams’ day-to-day work.
This is not about “AI at any cost,” but about stable, usable solutions that support processes, simplify communication, and deliver measurable value.
At this stage, it is decided whether AI will be accepted within the organization — or fail. We technically implement the previously developed concepts, integrate them into existing systems, and ensure that employees understand and can actually use the solution.
Our focus is on stability, security, and real-world usability.
Tailored to the use case — not off the shelf
We develop AI solutions based on defined requirements: for example chatbots, AI agents, decision logic, or automations. We rely on proven models and technologies — adapted to your specific use case.
Deploy AI where it is actually needed
AI only delivers value when it is integrated into existing systems. We connect solutions to CRM, ERP, ticketing systems, websites, or internal tools — cleanly, securely, and maintainably.
Reliable AI instead of experiments
We address data protection (GDPR), access control, logging, and quality assurance from the very beginning. This results in solutions that are legally compliant and can be operated reliably over the long term.
Making AI usable — not just available
We actively support the rollout: testing, fine-tuning, training, and feedback loops ensure that teams understand and use the AI effectively — without frustration or uncertainty.
After strategy and concept work comes implementation. We develop and integrate AI solutions so they work in everyday operations — technically sound, secure, and aligned with existing systems.
01
Technical setup & detailed design
Before development begins, we establish a solid foundation. Based on the existing concept, we define the technical architecture, relevant interfaces, data sources, and security requirements. We clearly specify how the AI solution fits into your existing system landscape — including roles, responsibilities, and dependencies. This ensures focused development and avoids detours or costly rework later on.
02
Development & integration
In this phase, we technically implement the planned solution. We develop AI functions tailored to the defined use case and integrate them cleanly into existing systems such as CRM, ERP, ticketing systems, websites, or internal tools. Our focus is on stability, maintainability, and clear interfaces — not on quick prototypes, but on solutions that work reliably in everyday operations and can be operated long term.
03
Testing, quality & fine-tuning
Before an AI solution goes live, we test it thoroughly in a realistic environment. This includes functional tests, quality assurance, logging, data protection and security checks, as well as defined fallback and handover rules. Together, we review results, fine-tune details, and ensure the solution works in a clear, reliable, and transparent way for users. This builds trust — internally and externally.
04
Rollout & handover
After successful testing, the solution goes live. We actively support the rollout, assist with training, and ensure a smooth transition into ongoing operations. Responsibilities, monitoring, and support structures are clearly defined so the solution is not only launched, but used safely and effectively.
After go-live: stability and control
With go-live, an AI solution is technically implemented — but its real value becomes apparent in operation. To ensure quality, acceptance, and long-term value, clear responsibilities, monitoring, and targeted optimization are essential.
Do you have a clear concept and want to put the solution into productive use? In a conversation, we clarify how implementation can be handled in a technically, organizationally, and timely sensible way.
