In many control centers, rising volumes of emergency calls and operations are met with limited personnel and financial resources. At the same time, they must respond quickly and reliably even under heavy workload and meet increasing demands for availability, resilience, and information security. The increasing interconnection of various stakeholders, as well as new technologies such as artificial intelligence, cloud solutions, and real-time situational awareness, open up additional possibilities but also place greater demands on interoperability, secure IT architectures, and qualified personnel.
Control centers vary in their tasks and requirements depending on their area of operation. An efficient control center can only be created when processes, people, and technology are considered together. That is why we first analyse the technical workflows and organisational requirements. Building on this, we develop a system architecture that is optimally tailored to your tasks and security requirements, as well as to future needs.
In crisis and emergency situations, situation centers play a central role. They provide a reliable situational picture, support the coordination of various organizations, and ensure that government agencies, companies, and operators of critical infrastructure are able to take action. That is why we do not view situation centers in isolation, but rather as an essential component of resilient security, leadership, and coordination structures.
Artificial intelligence opens up new possibilities for the operation of modern control centers. However, this requires a robust data foundation, suitable interfaces, a secure system architecture, and compliance with regulatory requirements such as the EU AI Act.
We help you address technical, organisational, and regulatory requirements early on and implement AI solutions in a secure and practical manner.
In addition, we offer AI-powered forecasting models that predict the expected volume of emergency calls and operations based on historical and current data. This enables proactive planning of actual staffing needs and the regional resources required for operations. This helps dispatchers identify operational situations early on, allocate resources as needed, and increase the efficiency of control center operations.
Modern control centers are not static systems. New regulatory requirements, technical developments, and changing operational scenarios demand the continuous refinement of processes, data models, and IT architectures. That is why we support our customers not only during the implementation of new technologies, but throughout the entire lifecycle of their control centers.
A key component of our approach is a continuous technology radar. We use this to evaluate new technologies and regulatory developments in terms of their benefits, maturity, and integrability. This allows us to lay the groundwork for incorporating innovations early on in the planning of (new) control centers and to plan the layout and staffing in a future-proof manner.
Using Model-Based Systems Engineering (MBSE), we establish a consistent foundation for planning, development, and further refinement. Requirements, functions, interfaces, and dependencies are consolidated into a single system model and documented in a traceable manner throughout the entire lifecycle.

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