It’s not just about robots. What does Industry 4.0 really mean for the defence sector?

The Polish defence industry today faces one of the most significant challenges of recent decades: how to produce faster, in greater quantities and with greater consistency, without compromising on quality or safety? This question resonated particularly strongly during the expert panel “Industry 4.0 in the defence sector – digitalisation, AI, additive manufacturing”, which took place as part of Defence24 Days 2026.

The discussion showed that Industry 4.0 in defence should not be understood as a buzzword, the purchase of robots or a one-off investment in automation. It is, above all, a shift in the way we think about production: from individual machines to integrated systems in which data, quality, planning, process control and safety form a coherent whole.

From Nextomation’s perspective, it is particularly important that the transformation of the defence industry does not begin with the choice of a robot or machine, but with an understanding of the process, the product, quality requirements and the target scale of production. Only then can technology realistically support the development of production capabilities.

Data as the foundation of the digital defence industry

One of the key takeaways from the debate was that modern military systems are increasingly dependent on data. Combat platforms, sensors, surveillance systems, C4ISR components and AI-based solutions generate and process vast amounts of information. However, their value only becomes apparent when the data can be used securely, combined with other sources and processed in a time-critical manner.

This is why open interfaces, interoperability and architectures enabling further integration are becoming so important. A strong call was made during the panel for an end to ‘black boxes’ – closed solutions that are difficult to integrate with other systems and limit the development of further functionalities. In the defence sector, it is not a single system that builds an advantage, but the ability to combine sensors, analytics and effectors into a coherent, resilient ecosystem.

The same applies to the factory. A modern production facility should also be a data-driven environment. Information on the product, process, machinery, quality, downtime, planning and maintenance should feed into a shared system that supports operational and investment decisions. Only then does automation become part of a larger architecture, rather than an end in itself.

Scaling production starts with a plan

During the panel discussion, Radosław Przysiecki, Business Development Manager at Nextomation, highlighted a very practical aspect of industrial transformation: automation can pay for itself very quickly, but it may also never deliver the expected results.

Key factors include investment preparation, product analysis, understanding the process, anticipated volumes and quality requirements. Some Industry 4.0 investments can pay for themselves within a few months, whilst others will not achieve profitability if designed without proper preparation.

This is an important lesson for the defence sector. Robotisation does not solve the problems of a poorly designed process. It cannot replace a stable product, well-thought-out logistics, proper material flow or quality control. However, it can significantly increase efficiency where the process has been well defined, where there is a need for repeatability, scalability or the reduction of arduous and dangerous work.

That is why, in the defence sector, it is not just robots that are particularly important, but entire modern production systems: assembly and test lines, traceability systems, real-time quality control, production flow simulations, bottleneck analysis, maintenance planning, and the integration of data from machines and workstations. This approach aligns with Nextomation’s expertise, as the company designs and implements automated lines, assembly and test systems, combining robotics, vision systems, traceability, advanced software and control technologies.

Scaling production without compromising on quality

In the defence industry, the question of production speed must always go hand in hand with the question of quality. When it comes to ammunition, electronics, optoelectronics or combat system components, it is not enough simply to produce faster. Production must be faster, but with full repeatability, process documentation and the ability to react immediately to deviations.

In this context, real-time quality control takes on particular significance. Instead of treating it as a final stage, it can be built directly into the production and assembly process. Data from measurements, tests, vision systems and process equipment can be stored in a database, analysed and used both for ongoing adjustments and for long-term production optimisation.

This approach is particularly important when scaling up rapidly. The greater the pressure on volume and pace, the more important process repeatability, automatic data logging and the ability to quickly detect deviations become. In modern defence manufacturing, quality cannot simply be checked after the process is complete, it should be designed and monitored at every stage.

AI, digital twins and additive manufacturing: from potential to application

AI, digital twins and additive manufacturing frequently feature in the debate on Industry 4.0, but in the defence sector their value depends on a very specific question: what operational or manufacturing problem do they solve?

Artificial intelligence can support the analysis of production data, failure prediction, maintenance planning, quality control, document processing and the analysis of data from reconnaissance systems. Digital twins allow for the testing of variants of production lines, plant layouts and processes before costly investment decisions are made. Additive manufacturing can reduce prototyping time, support short-run production, tooling development or the manufacture of components with geometries that are difficult to achieve using conventional methods.

In each of these cases, however, integration with the process is a prerequisite for success. The technology must address a real-world problem: shortening implementation time, increasing repeatability, reducing risk, improving safety, accelerating ramp-up, or ensuring greater supply chain resilience.

Interoperability and cybersecurity: prerequisites for effective digitalisation

In the defence sector, digitalisation cannot be separated from cybersecurity. Every new tool, including AI, creates new risk vectors. Therefore, implementations require access control, proper data hygiene, testing in secure environments, the careful selection of technology partners, and the ability to operate in a disruption-resilient model.

The discussion also touched on Edge AI, i.e. processing data closer to the source – on a platform, at a command post, on a device or at the network edge. This approach can increase the resilience of systems in the event that the central infrastructure is disrupted or neutralised.

Interoperability is equally important. In the NATO context, technologies must be compatible not only with national systems but also with those of allies. This applies to both military systems and solutions supporting production, maintenance, servicing and data exchange. Closed architectures hinder development, increase dependence on individual suppliers and limit the ability to respond quickly to changing needs.

Successful implementation begins with analysis

Across all three parts of this series, one message stands out:the future of aOne of the most important conclusions from the debate is that the success of an investment in modern production is determined very early on: at the stage of concept, product analysis, simulation, process modelling and requirements preparation. It is at this stage that decisions are made which later influence cost, implementation time, process stability, scalability and return on investment.

For companies such as Nextomation, this means acting not only as an automation supplier, but as a technology partner that helps translate production needs into a feasible, scalable and measurable concept. The right production line concept begins with an understanding of the product, process, volumes, risks and quality requirements before major CAPEX decisions are made.

This approach is particularly important in the defence industry, where time pressure is immense, but the cost of wrong decisions can be even greater. A modern factory should not be a collection of randomly selected technologies. It should be a system designed for a specific capability: fast, repeatable, safe and capable of being developed in subsequent stages.

A defence industry resilient to the challenges of the future

Industry 4.0 in the defence sector is not a matter for the future. It is a process happening right now – driven by the pressure of rising orders, a changing battlefield and the need to rebuild manufacturing capacity in Europe. Poland has strong assets in this area: engineering expertise, experience in advanced manufacturing, a growing technology sector and an increasing awareness of the importance of industrial sovereignty.

However, success will depend on cooperation: between the military, industry, academia and capital. It will also require a shift away from automation understood as the purchase of machines, towards systems thinking: about data, quality, interoperability, security, maintenance and scalability.

Because the modern defence industry does not need technology for technology’s sake. It needs solutions that genuinely increase production capacity, reduce response times and strengthen national resilience. And this is precisely where Industry 4.0 ceases to be a buzzword and becomes a practical tool for building security.

At Nextomation, we support industrial companies in the design, implementation and development of production systems that meet the real needs of the process: from concept and analysis, through automation, to commissioning and further optimisation.

Let’s define what’s NEXT for resilient manufacturing

The growing needs of the defence sector and ever-increasing quality requirements show that modern manufacturing must be designed differently: based on data, process, repeatability and resilience.

At Nextomation, we help manufacturers translate these challenges into concrete scaling strategies and future-proof production systems.

Start a conversation about what’s next for your production and how automation can become a resilient advantage.