Separation of concerns: The foundation for continuous innovation in industrial automation
Industrial automation has always had a clear purpose: to keep operations safe, reliable and available. For decades, automation systems have enabled industries such as energy, chemicals, mining, pharmaceuticals and manufacturing to run increasingly complex processes with exceptional consistency.
That objective has not changed. What has changed is the environment in which these systems operate.
Today, industrial organizations are under pressure to improve efficiency, strengthen resilience and make better decisions. Technologies such as artificial intelligence, advanced analytics, digital twins and edge computing offer significant opportunities to achieve these goals. Yet many companies find it difficult to introduce these capabilities into existing automation environments.
The reason is simple. Most automation systems were designed to prioritize operational stability, not continuous digital change. They were built for decades of dependable performance, not for digital software cycles that evolve every few months.
As operators pursue digital transformation, they face an important question. How can they embrace continuous innovation without compromising the integrity of systems that keep their operations running safely?
A growing number of industrial companies are finding the answer in a principle that has long existed in engineering: separation of concerns. ABB has applied this principle in its Automation Extended architecture, where control and digital environments are intentionally designed to evolve independently while remaining securely connected throughout their respective lifecycles, supporting an approach of innovation with continuity.
Different objectives require different environments
Control systems and digital applications are designed to serve very different purposes. ABB’s Automation Extended reflects this by creating a clear distinction between the control environment, responsible for executing deterministic processes safely and predictably, and the digital environment, where innovation can happen at the pace of modern software. Every change to the control environment requires careful validation because reliability is essential to safe plant operations.
Digital technologies operate very differently. AI models improve through continuous learning. Analytics platforms evolve regularly. Software applications receive frequent updates as new capabilities become available and cybersecurity requirements change.
These differing objectives require different operating models. Trying to manage these technologies within the same architecture creates unnecessary complexity. Businesses often delay digital initiatives because every new application has the potential to affect validated control systems. At the same time, introducing frequent software changes into operational environments increases both technical and cybersecurity risks.
Separating control from digital innovation
The principle of separation of concerns provides a practical way forward. For example, Automation Extended applies this principle through an ‘innovation with continuity’ approach, allowing digital capabilities to evolve independently while preserving the integrity of validated control systems. Rather than forcing organizations to choose between stability and innovation, each environment can develop according to its own operational requirements.
Instead of treating automation as a single environment, organizations create two distinct domains. The first is the control environment. Its role is to operate the process safely, reliably and deterministically.
The second is a digital environment where organizations can develop and deploy applications such as AI, advanced analytics, digital twins and other data-driven solutions.
The two environments remain connected through secure data exchange, but each can evolve independently. This distinction allows organizations to innovate more quickly while protecting the operational integrity of their automation systems.
Letting different technology lifecycles evolve naturally
One of the biggest advantages of this approach is that it recognizes different technology lifecycles.
Digital technologies follow a much faster cycle. New AI models, optimization tools and software services appear constantly. Organizations want the flexibility to adopt these innovations as they mature, rather than waiting for the next major automation upgrade.
When control and digital systems are tightly connected, every innovation can become a control system project. Progress slows because updates must meet the same rigorous validation requirements as operational software. Separating these environments removes much of that constraint.
Artificial intelligence needs a flexible digital environment
Artificial intelligence is a good example of why this architectural shift matters.
Successful AI initiatives depend on access to operational data, continuous refinement and the ability to introduce improved models over time. Innovation happens through experimentation and iteration — two characteristics that do not align naturally with deterministic control systems.
By separating operational control from digital applications, organizations can introduce AI into production environments with greater confidence. AI can analyze process data, predict equipment performance, recommend operational improvements and support decision making, all without changing the underlying control logic responsible for running the plant.
This gives organizations the freedom to explore new capabilities while maintaining confidence in day-to-day operations.
Separate environments support stronger cybersecurity
Cybersecurity is another important consideration. As industrial organizations become more connected, protecting critical infrastructure becomes increasingly complex. Different environments require different security strategies.
A separated architecture makes it easier to apply security measures that reflect the role of each domain. The control environment can remain tightly managed with a strong focus on operational resilience. The digital environment can support modern software development, cloud services and external applications within appropriate governance and security frameworks.
This approach strengthens protection while allowing organizations to continue expanding their digital capabilities.
Digital transformation can build on existing automation investments
Digital transformation does not require organizations to replace automation systems that continue to perform well.
Most industrial companies have invested heavily in automation platforms that remain reliable and effective. The challenge is finding ways to extend their value while introducing new digital capabilities.
Separation of concerns supports exactly that. Existing control systems continue performing their core operational role, while new technologies can be introduced independently as business needs evolve. This reflects an innovation-with-continuity approach, where digital transformation builds on proven automation investments rather than replacing them, allowing each environment to evolve independently according to its own operational requirements.
Instead of viewing modernization as a major replacement project, organizations can pursue continuous improvement through incremental innovation.
Preparing industrial automation for a future of continuous innovation
Industrial automation is entering a new phase. AI, analytics and emerging digital applications will continue to evolve rapidly, often in ways that are difficult to predict today.
Organizations need an automation architecture that can adapt to this pace of change without compromising operational reliability.
Separation of concerns provides that foundation. It allows the control environment to remain stable, resilient and secure while giving digital technologies the flexibility to evolve independently.
More than an architectural choice, it is a practical strategy for protecting existing investments, accelerating innovation and keeping industrial automation ready for whatever comes next.
About the Author
Stefan Basenach
Stefan Basenach is senior vice president, Automation Technology, at ABB. He has been with the company for more than 20 years. From July 2012 to May 2014, he served as a board member for Industrial Defender USA, and his leadership was pivotal during ABB Technology Ventures' investment in Industrial Defender, which eventually culminated in a successful acquisition by Lockheed Martin Corporation in 2014. He is committed to the implementation of sustainable practices and was instrumental in leading ABB Process Automation Energy Division in Germany in the drive to support the energy industry in their energy transition journey towards a net zero economy. Basenach's educational background includes a Diplom Ingenieur degree in Technische Kybernetik from the University of Stuttgart, where he specialized in Control Methodology for technical and non-technical systems with a focus on Biochemical Engineering.