Shaping the Future of Work within Heavy-Asset Industries

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Challenges Faced by Industrial Organisations

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Slow decision-making

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


Lack of access to centralised data

No single source of the truth accessible to stakeholders across the organisation.

Break Down

Unable to generate useful insights

Disconnected apps and data makes it difficult to generate game-changing ideas.


Too many applications

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

Enable Data

Work and data are siloed

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


Siloed business areas prevent collaboration

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

Say hello to Industrial Work Surface

  • Industry Solution Templates
  • System of Work
  • System of Engagement
  • Data Ops

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


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​

Enabling Safer, Smarter, Greener ways of working

Supporting the widescale digital transformation of the heavy asset industry.


Elevate safety, security, and reliability in your industrial operations through increased transparency, advanced error-reduction technologies, strategic personnel relocation, and continuous training and education initiatives.

Optimise delivery


Boost operational efficiency by unlocking critical insights that empower personnel to make smarter decisions. Eliminate the need for on-site staff through digitalisation and automation, enabling seamless remote operations.


Improve climate and environmental impact/performance by supporting fuel and voyage optimisation to support smarter decisions. Embrace the green revolution with us as your digital partner.

Enabling Safer, Smarter, Greener ways of working

Built with our proven technology, the Industrial Work Surface is already delivering measurable value.


Use Kongsberg Digital solutions

Kongsberg Digital technology is relied on by 30% of real-time drilling operation centers worldwide.


New assets each year

Kongsberg Digital helps digitally transform up to 15 assets annually for the world’s largest oil and gas companies.


Reduction in time spent at work

The Industrial Work Surface enables users to instantly see where there will be conflicts with simultaneous operations.

Technology Capabilities of the Industrial Work Surface



The Industrial Work Surface empowers data and analytics teams to seamlessly observe, test, and automate the tools, data, processes, and environments within their entire data analytics organisation.

This allows experts to gain valuable insights from your data, driving innovation and maximising efficiency.



We harness the power of Generative AI to transform your data experience and help users extract valuable insights from documents and extensive transactional data sets faster and easier using natural language and voice commands.

Integrating AI-driven tools like chat and advanced search functions serve as powerful enhancements to your existing workflows, delivering the highest value when combined with other features within our Industrial Work Surface.



Utilise our cloud platform and the Industrial Work Surface to access real-time, high-fidelity simulations of your process facilities.

This empowers you to swiftly identify and address issues and opportunities that can help you improve day-to-day operations.

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Maximise business performance and drive more value

Built with our proven technology, the Industrial Work Surface is already delivering measurable value.

3 months


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


Users are more efficient.

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


Users Worldwide

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

Strategic Multi-Year Agreements to Digitalise Global Assets

Both Shell and Chevron have partnered with Kongsberg Digital in multi-year agreements to expand the deployment of our solutions to assets globally. This will drive greater profitability and sustainability by transforming assets for long-term agility, resilience, and performance.

“We continue to strengthen our digital twin capability and expand deployment to more assets globally. Wider digital twin adoption across our assets enables Shell to continue to accelerate our digital innovation journey driving efficiency improvments. ”

Owen O'Connell

SVP & CIO - Upstream and Projects & Technologies

“This is really changing the way that engineers get work done. The speed of change in our industry requires us to think differently, act differently and support each other differently to have more impactful results in meeting the world's energy needs.”

Keith Johnston

Manager, Digital Engineering

Gather more insights by exploring more helpful resources

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

A Conversation with LNG Canada and Accenture on Realising the Promise of Digital and AI

Senior energy leaders are seeking to balance competing priorities of the energy trilemma while running day-to-day operations. The adoption of a digital performance model (DPM) offers a sustainable way to grow business value through digitalisation.

In our latest executive webinar, we had the pleasure of spending some time with Luke Schauerte, VP of Asset at LNG Canada and Paul Siwek, Managing Director (Industry X) at Accenture to explore how companies are approaching digital transformation and why a DPM has become a cornerstone of their business strategy going forward.

Despite increased attention, is digitalisation lagging behind?

Energy leaders have been thinking about going digital for quite some time, yet many are holding back. With challenging commodity prices and capacity constraints limiting the implementation of comprehensive technology solutions, Paul highlights that the foundational elements of a value-based business strategy, foundational technology and company-wide buy-in remain important.

For LNG Canada – a greenfield LNG export terminal being built in British Columbia, Canada – digitalisation came at just the right time. Digital is often hyped out of the gate, but for companies willing to sit down and understand how digitalisation can benefit their operations, the tools experience comes together. LNG Canada sees value starting to emerge as users get on-demand insights for their daily tasks even before the facility is on stream.

Data lakes or data swamps?

For decades, the energy industry has been struggling with the data behemoth. Companies continue to reflect on the fact that existing systems landscapes lack a separation between software and data – it remains difficult to standardise solutions, which stifles innovation. One way to push past this is to realise that having data is important, but what really matters is the relationship between data and operations.

“The real priority here should be understanding what data is needed to take better decisions, have better insights, drive AI algorithms and support a digital performance model.” Luke Schauerte, VP of Asset, LNG Canada

In the last 6-12 months, LNG Canada has started understanding what data matters and the value of that data when it’s put into an environment where people can work holistically. As Luke says, that’s where money is left on the table, and that’s where companies can leverage the potential to compete in the market.

“Typical to any new tech deployment is an initial focus on data quality. As a technology provider, we’ve realised that we need a more pragmatic approach to working digitally. It’s a flip of mindset and maturation from fixing all data to focusing on the data that matters. How can I bring it together in a performance model to get the benefits and promise of digital?” Grant Christie, VP of Sales and Business Transformation, Kongsberg Digital

Pinpointing the problem

As a technology consultancy and systems integrator, Paul from Accenture encourages customers to start by asking: What problem are we trying to solve? What are the use cases where value will come from – turnaround efficiency, asset uptime, maintenance?  

That’s exactly what the digital performance model promotes: finding the use cases that are most relevant for your business, and then working backwards from there to identify what systems you need, clean those, get the small wins and build momentum from there.  

By rethinking our approach to work and integrating data quality into our digital architecture, we can ensure that data is placed in the right context. Then we’re already promoting high-quality decision-making at an unprecedented speed and scale.

In a nutshell, what is the digital performance model?

The digital performance model is a collection of key organisational components (processes, organisational structures, technologies and governance) that deliver faster, more transparent, higher-quality decisions and stronger business performance at scale. This is tied together in an industrial work surface that provides a digital interface where work can be done.  

Organisations find value in their ability to apply this approach to low-value, high-frequency events like pump maintenance, changing between pumps during operations and filter changeouts. The micro decisions made in these daily tasks can be de-cluttered and digitalised for faster automation and to train large language models (LLMs) and AI quickly.  

Decision effectiveness drives 95 percent of company performance. With the digital performance model approach, the noisy, low-value parts of business are pushed to autonomy, freeing up the organisation to see where other key decisions are getting in the way of operational performance.

Customers expect the DPM to solve specific problems

Paul from Accenture sees the DPM as a way to relieve pressure on front-line and remote workers, a way to maintain and respond to the competitiveness that the market demands. For LNG Canada, the application is hands-on.

“We have a pump with a problem – the solution is to ask John, because he's been working here 35 years. He knows that pump. This is a huge problem for scale. Our facility is in a remote location, in a high-cost country, with a complex value chain - how can we do this effectively? We need decision speed and decision quality. People need to make the right decision at the right moment.” Luke Schauerte, VP of Asset, LNG Canada

The digital performance model enables the human element to improve. Insights can be at a user’s fingertips without Powerpoint, an Excel sheet, long meetings or a hanging decision. It’s in a single, end-to-end digital environment.

Is this the future of work?

“We’ve had data forever, we have digital solutions – but how do we bring all this together so that a maintenance technician knows about their next task, how the facility is doing maintenance, how to plan for an upcoming turnaround? How do we bridge these complexities? This is what the digital performance model is solving.” Paul Siwek, Managing Director (Industry X), Accenture

On a recent site visit, an operator was blown away that our VP of Sales and Business Transformation, Grant, was familiar with the facility’s layout through the digital twin despite never having been there. That’s the power of working in a digital company that offers insights for everyone, even those working remotely. It’s not about data, or fancy 3D capabilities. It’s the ability to visualise and understand information and make high-quality decisions.

And it’s an interesting way to work. LNG Canada is especially excited about how this integrates and attracts the next generation of workers. A final story that Luke shared during the webinar: Several weeks ago, Luke met a technician out on a round. The technician was walking around looking for an exchanger and after a few seconds, came to a stop, pulled out his iPad and entered a simple search into the digital twin. Within seconds the search returned the right exchanger, including all linked documents, drawings and historical records. That’s the future of work – companies can either get onboard now or be left behind.

The Operating Model of the Future: Executing the Vision of Digital and AIThe Operating Model of the Future: Executing the Vision of Digital and AI

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