Europe lives from supply - from energy, water, mobility, logistics and digital exchange. But if you take a closer look, you will see that these critical infrastructures are the backbone of our society - and often also the blind spot of digitalization. Historically evolved, highly complex, difficult to modernize - and vital for survival.
Standing still is not an option - the risks in the core system
Sabotage, cyber attacks, natural disasters, technical defects - the list of threats to critical facilities is long and rapidly increasing. Failures or attacks threaten entire cities, sectors and millions of livelihoods. The EU Commission is responding with new directives and an ambitious roadmap: National strategies, resilience through risk management and technical and organizational security measures are now mandatory.
But the problem goes deeper. Many systems have grown historically and are analog: Supply networks, pumping stations, energy distribution, control technology - often without digital interfaces, without a real-time overview, without the ability to react immediately to new threats .
Here, digitalization is not a nice to have, but a matter of survival.
Digitalization needs platforms - not isolated solutions
Traditional infrastructure retrofitting fails due to individual systems: Every industry, every operator, every project operates differently. Data is visualized, but rarely used intelligently. Alarm messages are ignored because they are too many and too unclear. There is an existential gap between information and action - even in highly sensitive sectors such as energy, water and transportation.
The future lies in platformsthat record infrastructure holistically, network it and makeit controllable.This means
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Systems of every generation, from all manufacturers, will be connected and synchronized.
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Decentralized interfaces and IoT gateways transmit statuses and alarms directly to central, capable platforms.
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No-code control logic and intelligent sets of rules enable technicians to flexibly design processes and responses - without months of IT projects.
Platform thinking makes infrastructure resilient - not through even more visualizations, but through direct decision-making capabilities and intelligently automated processes.
Resilience is the new currency - but how does it work?
Success models are created where platforms:
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Record real-time data reliably and auditably (e.g. energy consumption, water level, pressure).
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Proactively detect anomalies and malfunctions - predictive maintenance before the damage gets worse.
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Fend off threats automatically (DDoS, sabotage, failure due to redundancy).
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Fully document and report compliance requirements.
Applications in practice
The principles described above sound abstract - but they have long since become reality. More and more operators, local authorities and industrial groups are making the leap from theory to implementation. Wherever platforms are introduced, it is not only the technical level that is changing, but also the culture of action: decisions are data-based, interventions are automated and resources are managed with foresight. Three examples show how differently and effectively platform capability is being used today.
Steel mill - AI-supported energy optimization with C3.ai
A leading European steel manufacturer (one of the top 10 in the world according to C3.ai) uses an AI platform to optimize the energy consumption of its electric arc furnaces. The software analyzes production schedules, furnace cycles, temperature curves and energy prices in real time. On this basis, it forecasts energy requirements with over 90% accuracy and automatically plans the optimal purchase of electricity and gas.
The operators report that the platform is not classic automation, but a digital assistant: it provides recommendations for action that are checked in the control center and adjusted if necessary. The automatic visualization of load profiles in particular makes decisions much easier - for example, when an oven cycle should be postponed in order to take advantage of cheaper tariffs.
The combination of forecasting, visualization and recommended action has saved annual energy costs of around 14 million US dollars, reduced CO₂ emissions and made production planning more predictable. The system is now being rolled out in other plants.
Municipal pumping stations - digital retrofitting with ifm moneo
In a southern German municipality, over 20 pumping stations for wastewater and flood protection were retrofitted with sensors and edge gateways. The solution is based on the ifm moneo platform , which monitorsfill levels, flow, temperature and power consumption in real time.
The system reacts automatically inthe event of heavy rain: it activates emergency pumps, opens overflow valves and alerts the operating personnel via an app.
The technicians particularly appreciate the intuitive dashboard, which can also be understood by non-IT-savvy employees.Alerts are prioritized so that only the really critical stations appear in the event of flooding.
The result: 30% fewer unplanned shutdowns, significantly lower maintenance costs and audit-proof documentation for supervisory authorities.
The municipality is now planning to extendthe system to waterworks and district heating systems.
Infrastructure planning - AI-based construction site coordination (AI4Infra project, EU)
Since 2023, the European research project AI4Infra (Horizon 2020) has been developing an AI system that dynamically coordinatesconstruction and infrastructure projects across regions . It analyzes material availability, weather forecasts and traffic congestion in order to automatically stagger construction times and efficiently distribute resources such as machinery or personnel .
In the Copenhagentest area , project data is entered via a web interface; the AI then creates scenarios with prioritizations (e.g. time, costs, traffic load).
Project managers report that the simulation results often produceunorthodox but efficient schedules - for example, parallel construction phases in side streets to keep main axes open.
In Spain, the city of Valencia is using the system to coordinate the renovation of the water network with road construction projects. Initial tests show that construction times can bereduced by up to 15 % and traffic disruption significantly reduced.
Decision-makers also benefit from a transparent overview of dependencies and bottlenecks - a real cultural change in infrastructure management.
These examples make it clear that platform capability is not just a theoretical vision. It shows how learning, responsive infrastructures can develop from isolated systems. From steelworks to city administrations - the direction is clear: those who bring data to action make critical infrastructure resilient, efficient and future-proof.
AI and automation - when infrastructure thinks and reacts
The question now arises as to what the actual driving force behind this new form of resilience is. This is where artificial intelligence comes into play. It is not an add-on, but the brain of modern infrastructures - the point at which data becomes decisions.
Where control and managementused to be separate, they are now merging: sensors deliver signals, platforms interpret, AI systems react. This shifts the paradigm - from reactive intervention to proactive, learning action.
Artificial intelligence is becoming a game changer in critical infrastructure:
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Predictive maintenance: AI recognizes early on when and where action is needed - from wind farms to drinking water pumps.
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Incident response: Automated response to sabotage, cyber attacks and system overloads.
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Optimizing the use of resources: logistics centers, energy suppliers, municipal utilities - AI-supported forecasts make everything more efficient and sustainable.
However, without a central platform and open interfaces, AI remains an isolated solution. It's the architecture that counts.
Integrators and operators: why platform capability wins
Even the most intelligent AI is ineffective if its findings are lost in the system. Platform capability ensures that knowledge, action and responsibility interlock seamlessly - across industries, locations and responsibilities. It turns complex infrastructure into a learning ecosystem in which operators, integrators and technology act together instead of reacting in isolation.
This is precisely where it is decided whether digitalization becomes a permanent project or a stable foundation.
For integrators, platform capability means
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Getting out of the permanent project stress: prepared templates, reusability, no more patchwork.
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New business models instead of margin pressure: white label, SaaS, OEM - integrator-friendly, plannable, scalable.
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Fully automated compliance: KRITIS requirements are also met in a standardized and automated manner.
Operators benefit from real freedom of action: systems become transparent and controllable. Faults become the rule in the system, not the exception for people.
Future viability becomes plannable - whether in a municipal waterworks or an international production group.
