Ready to join the #AIVOLUTION?

Attend The Tomorrow Show – where the AI conversation gets real. It’s time to move past the buzz of AI and digital and talk about the real outcomes these technologies are delivering to heavy-asset industries.

September 18-19, 2024 – Oslo, Norway

October 22, 2024 – Houston, US

Secure your seat

Trusted by Global Industry Leaders

Unite people and technology

  • Improve operational efficiency through one single work surface.
  • Enable data-driven decisions with real-time insights.
  • Empower collaboration across your entire organisation.
  • Manage and visualise safety risks.
  • Make data more accessible across the enterprise.‍

The Industrial Work Surface is a unified digital workspace built for heavy-asset industries. It gives your teams a better way to visualise, orchestrate, and automate complex work at scale, enabling more productive, cost-efficient, and reliable operations through a single, intuitive interface. The Industrial Work Surface is one solution for endless opportunities.

Industrial Work Surface

  • Industry Solution Templates
  • System of Work
  • System of Engagement
  • DataOps

Industry Solution Templates

Industry Solution Templates​

Explore new ways of working with our tailor-made industrial solution templates. Unlock your potential with industry-leading solutions designed to help you enhance workflows, take charge of operations, and elevate organisational productivity.

System of Work

System of Work​

The Industrial Work Surface is where people come to make progress, get the job done, and execute business processes in the metaverse. Reimagining work means facilitating end-to-end processes more efficiently. "Work" refers to a broad range of activities involving various processes and actors, including analytics, optimisation, planning, management, and operations.

  • Execute business processes in the metaverse.​
  • End-to-end work processes.​
  • Analytics, optimisation, planning, management, operations​.

System of Engagement

System of Engagement​

The System of Engagement allows you to interact and collaborate with data, models, and individuals, execute tasks and complete actual work. Its capabilities range from built-in rich collaboration features, advanced contextual and time-based annotations, and adaptive user experiences driven by activity patterns and AI to integrated asset exploration with asset explorer, asset search, query builder, visual filtering, and overlays.

  • Execute business processes in the metaverse.​
  • Interact with the data, including self-service of advanced cross-domain data exploration, visualisation, annotation, and modification workflows.
  • Enable users and personas with different needs to be served optimally from the same underlying data.
  • Standardise asset exploration, information gathering and visualisation for global access.

Data Ops

DataOps​

The DataOps capabilities built into the Industrial Work Surface accelerate the realisation of business value by creating predictable delivery and change management of data and data models. DataOps automates the designing, deploying, and managing data delivery with appropriate levels of governance, using metadata and various enrichment and contextualisation methods to enhance the usability and value of data through the highly dynamic and “business real-time” Industrial Work Surface.

Our capabilities include:

  • Self-Service tools​
  • Contextualisation Engine​
  • Data Modelling, Integration, Quality management​

Embrace the future of work with the Industrial Work Surface

1/5

System of work

Facilitate end-to-end work processes – including analytics, optimisation, planning, management, and operations – in a radically more efficient way. With persona management, responsibility-aware application workflows, and self-service work process management, the Industrial Work Surface applies a human-centric approach to your work/operations.

2/5

AI in work

Tap into the power of AI to enhance, improve, and evolve your industrial work processes. By combining AI-powered search with Asset Co-pilot augmentation, you can enable faster and more effective decision-making loops through instant access to information. Leverage generative AI to support and expedite various tasks, including data ingestion and contextualisation.

Learn More

3/5

Simulation in work

Access real-time, high-fidelity simulations of your process facilities with our cloud-based platform. This enables your industrial teams to quickly identify bottlenecks and opportunities that can help you improve day-to-day operations.

4/5

DataOps

Empower data and analytics teams to seamlessly observe, test, and automate the tools, data, processes, and environments within their entire data analytics organisation. Combine your data products, platforms, and cornerstone systems. Equip your experts with invaluable insights from your data, drive innovation, and maximise operational efficiency.

Learn More

5/5

WorkOps

Connect, aggregate, and contextualise data from various sources – such as Industrial Internet of Things (IIOT) and Enterprise Resource Planning (ERP) systems – to create new and more effective workflows. Eliminate the need to switch between multiple siloed expert systems and empower collaboration between multidisciplinary teams. Enable users to create data-driven workflows that connect data, insights, analytics and users. These workflows replace existing processes and manual tools, allowing remote work, remote assistance, and improved collaboration.

Address the significant challenges industrial organisations face

Get a holistic

Slow decision-making

Problem-solving and decision-making can be too slow, ineffective, and resource-intensive.

Ensure

Lack of access to centralised data

There is no single source of truth accessible to stakeholders across the organisation.

Break Down

Unable to generate valuable insights

Disconnected apps and data make it challenging to generate game-changing ideas.

Drive

Too many applications

The average user signs in and out of over seven different systems daily.

Enable Data

Work and data are siloed

Different business areas pursue their own agendas and goals, so work and data become siloed.

Accelerate

Siloed business areas

Work silos prevent people from collaborating as much as they could be.

Maximise business performance and drive more value

Built with our proven technology, the Industrial Work Surface delivers measurable value to organisations competing in energy, utilities & renewables, and maritime sectors.

3 months

Time-to-Value

An asset has a typical digitisation time of 3 months, enabling rapid scaling across the enterprise.

85%

Users are more efficient

With one system to plan, execute and close out work, 85% of users feel more efficient.

20,000

Users worldwide

At-scale delivery of digital twin technology to integrated energy companies.

See why industry leaders are adopting the Industrial Work Surface

Companies like yours use the Industrial Work Surface daily for better decision-making that helps maximise business performance and drive value across the organisation.

“For me, the strength of Kongsberg Digital’s simulators is the visualisation.”

Andreas Johannesen

Senior Engineer, Ops Process
Equinor

"Simulators help learners remember things better."

Svein Gunnar A. Haugen

Process Technician, Operations Process
Equinor

"Crew members had never done this operation live, but I had been training for it on the simulator."

Knut Bolme

Process Engineer and Simulator Instructor
Equinor

Make your industrial vision a reality

Want to help your heavy-asset organisation gain a competitive edge? Contact us to discover how the Industrial Work Surface can help you reach new levels of intelligence and productivity.

Request a demo
Ready to learn

Gather more insights by exploring more helpful resources

See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.

Real-world applications and use cases have emerged beyond the buzz and hype of AI. Natural language processing (NLP), large language models (LLM), hybrid machine learning (ML), generative and agentic AI—all represent a litany of transformational technologies.

The possibilities for our digital future within the energy industry are endless:

  • Faster, more reliable data processing and verification, with more sophisticated data-sharing infrastructures
  • Connected data sources as a foundation for accelerated innovation and collaboration
  • Increased autonomy and automated services in operations and maintenance
  • Integrated physics-based and data-driven digital twin models that together with AI augment human decision-making
  • Improved asset performance management and reliability for plants from upstream to downstream
  • Bi-directional data flows between systems and equipment, with Generative AI enhancing interaction to increase situational and operational awareness
  • Supply chain transparency and traceability across the energy value chain
  • Predictive analytics for improved energy efficiency

Considering the potential unlocked by an AI-driven digital transformation strategy, both immediate and long-term advantages become clear - ranging from faster data processing and improved information flow to reduced risk, enhanced communication, and greater automation. But the real challenge lies in moving beyond the hype to thoughtfully integrate these advanced technologies into daily operations in a way that aligns with industry needs. The key question is how AI will become embedded in routine business processes, supporting everything from workflow automation and data analysis to decision-making and customer engagement, ultimately reshaping how organizations operate and deliver value.

Moving beyond data and dashboards

What matters most is not just the data you have but how you use that data. Data standards are an important part of our digital future, enabling companies to collaborate and co-innovate through system interfaces that integrate in the back end. Many progressive companies have put in place a solid data infrastructure and added select applications like a digital twin on top, making data more contextualised and accessible through simplified dashboards that make data easy to find, filter and apply.

However, data and dashboards are not enough of a springboard for AI to have the measurable value or ROI that companies expect. Instead, we need to start with a value-focused approach that zooms in on the specific use cases and services where AI can have the most influence through a digital operating model that builds on digital twin technology backed by physics-based and data-driven models. The successful implementation of an AI-infused digital strategy needs to be driven by desired business outcomes.

Driving transformation with a value-focused approach

Effectively leveraging AI to move beyond "business as usual" in the energy sector requires deep familiarity with the industry's evolving landscape.

As a technology provider with both domain and technical expertise, we see the greatest potential for AI-driven value creation in several key areas

  • Safety
  • Operations and Maintenance
  • Performance Monitoring
  • Supply Chain Management
  • Design and Engineering
  • Emissions Management


Once specific services within the potential high-impact areas are identified—typically those that are frequent and generate consistent, repeatable data patterns—they can serve as ideal candidates for AI-driven automation. These patterns enable AI and related technologies to support the development of value-focused applications that extract and process information, generate insights, and provide actionable recommendations. Many of these actions can be executed autonomously, ultimately contributing to greater energy efficiency.

Beyond the hype, it’s essential to keep people at the core of operations, supported by technology that can seamlessly handle diverse data types and sources. In this model, technology serves as an enabler—delivering the right amount of information to the right person at the right time. This enhances decision-making speed while reducing risk. Depending on the use case, the resulting benefits can scale significantly, from reduced emissions to earlier interventions in predictive maintenance scenarios.

A glimpse into the AI-driven future of energy operations

Consider a methane emissions management workflow.

An emissions reduction team oversees 10 assets for a major exploration and production company, continuously monitoring each site’s carbon footprint. Their central tool: a cloud-based, dynamic digital twin that provides access to a configurable emissions management cockpit. This cockpit goes far beyond static dashboards—it highlights the highest energy consumers in real time, flags critical incidents requiring immediate attention, and suggests recommended actions based on live data streams enriched with historical and synthetic datasets.

At one facility, the cockpit detects that a main gas turbine is consuming significantly more energy than expected, pushing up the site’s overall emissions profile. The team initiates an investigation by querying the digital twin through an integrated AI-powered chat interface, retrieving targeted insights in seconds.

With the relevant data in hand, they virtually navigate to various system components—such as flare stacks and vents—to pinpoint the issue. Behind the scenes, complex data processing and integration are handled seamlessly, allowing the team to focus on decision-making. They consult a simulator view within the twin to compare real-time and modeled values, receiving prescriptive guidance on where and how to intervene. Armed with this clarity, the team can act quickly, supported by both actionable instructions and transparent rationale

Transforming the future of work in energy

Data becomes insight. Insight drives action. Action delivers outcomes. And outcomes evolve into prescriptive tasks—clear, traceable, and executable—enabling teams to move with confidence and transparency. This cycle supports a wide range of use cases, each aligned with business goals and value-driven outcomes. Forward-thinking energy companies are already embracing this shift. It’s not just better than business as usual—it’s the foundation for a smarter, more sustainable future.

Reshaping the future of work in energy Reshaping the future of work in energy