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How digital sovereignty can strengthen resilience for energy companies

Discover our four-level framework for building resilient, sovereign energy infrastructure and explore what resilience looks like in practice across the energy sector.

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The value of a connected data-driven energy system

Smart meters now installed across homes and small businesses in Great Britain, generating a continuous stream of energy data.

41 mil+

The potential cost savings for the UK energy system by 2050 from a more flexible, digitally coordinated grid, according to UK government estimates.

£30-70bn

of Nordic energy providers use cloud and AI services intensively. The 'Nordic Way' shows how data-driven innovation can be rolled out at scale.

93%
Woman in office working on plan with wind turbine model on table

Resilience and innovation aren't a contradiction

Real-time operational stability and data-driven innovation can sound like a contradiction for energy companies. Our whitepaper shows it doesn't have to be, and it starts with where your data actually lives. 

The key isn't the question of ‘cloud or no cloud’ – it's deciding where workloads, data, and AI applications should sit, in line with security requirements, governance, and regulatory demands such as the UK’s Network and Information Systems Regulations (NIS). Find out how this works in practice, and how Scandinavian energy providers are already taking this path, in ‘The Sovereign Grid’ whitepaper. 

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Which level is your organisation at?

The four levels of modern infrastructure – a transparent foundation for delivering your resilient innovation agenda.

Level 1: Fragmented data landscapes

OT and IT data is scattered, siloed, and only partially analysis-ready. 

Level 2: Controlled hybrid infrastructures

Data, access, and governance are brought together in a controlled way across hybrid environments. 

Level 3: Workload-differentiated placement

Workloads are deliberately placed according to protection needs, performance, and regulatory requirements. 

Level 4: Adaptive governance

Governance, compliance, and workload control adapt dynamically to new requirements. 

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The case for secure innovation

Digital sovereignty isn’t the goal; it’s what enables secure, rapid, and cost-effective innovation across critical grids. Our new whitepaper describes the characteristics, architecture principles and operational requirements of each maturity level – and what that means for you.

You'll learn: 

  • How to operationalise digital sovereignty. 
  • What role workload-based placement plays. 
  • How to control hybrid infrastructures. 
  • How governance, OT, and AI can be brought together. 
  • Which architecture principles work in critical infrastructure. 
  • How other organisations balance resilience and innovation. 
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Get more insights in our whitepaper

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Clear data structures, better decisions

Four examples showing how UK energy organisations are turning fragmented data and standards into coordinated, interoperable foundations, strengthening transparency and enabling better-informed decisions across the sector.

DESNZ: Navigating UK energy data standardisation

Working with the UK’s Department for Energy Security & Net Zero, we reviewed digital standards across the energy sector, focusing on how to enable effective data interoperability.

Read the full case study

ENA: Transforming Data Triage to enable energy data sharing

We partnered with the UK’s Energy Networks Association to develop a standardised framework for sharing data responsibly.

Read the full case study
EKZ logo on energy image

National Grid ESO: Advancing digitalisation for a Net Zero future

We supported National Grid ESO in driving energy sector digitalisation by defining how a shared digital infrastructure can be built and operated for the benefit of all energy stakeholders.

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Innovate UK: Demonstrating how data ecosystems can support decarbonisation

We built the EV Infrastructure Investor App, bringing 40+ disconnected datasets from bodies that otherwise don’t connect and turning it into tangible insight.

Read the full case study
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