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Utilities, infrastructure operators and critical asset owners.
Energy & Utilities
Critical national infrastructure where AI decisions carry physical and safety consequences.
The challenge
What makes governance hard here.
- AI is applied to forecasting, asset management and grid or network operations with physical consequences.
- Operational technology and information technology governance are historically separate.
- Critical infrastructure obligations require demonstrable resilience and accountability.
How Regurai helps
What changes with a connected model.
- Connect AI systems to the assets, processes and control environments they influence.
- Assess resilience and safety consequences alongside regulatory and economic impact.
- Maintain evidence that operational AI is supervised and change-controlled.
Use cases
Decisions Regurai supports in this sector.
Assessing the consequence of AI-informed decisions on critical assets
Understanding dependency exposure between operational and corporate technology
Modelling the impact of an outage or supplier failure
Prioritising asset and technology investment with recorded assumptions
Relevant capabilities
Capabilities most used here.
- Dependency Mapping
- Scenario Simulation
- Policy & Control Library
- Real-Time Risk Scoring
- Audit Trail & Evidence
Governance considerations
What oversight typically focuses on.
- Critical infrastructure resilience and safety oversight
- Operational technology change control
- Regulatory reporting and accountability for automated decisions