

One repeatable decision layer brings operational evidence into maintenance, investment and reporting.
The challenge reached beyond technology. The capability had to fit the operator’s working environment, use available information consistently and produce outputs that operational, investment and reporting teams could reuse with confidence.




The delivery combined data integration, formal calculation logic and operational workflows so that information could move from capture and preparation through analysis, planning and maintenance action.
Condition, defect, standard operating procedure, measurement and criticality information from existing systems was integrated to create a more coherent view of each asset.
The programme implemented structured asset-health, criticality and risk calculations, providing a consistent basis for assessing network assets.
Analytical and rules-based logic identified priorities, while results were exported for asset management, investment planning and reporting and connected to maintenance execution.
The model was extended across documented distribution, transmission and internal pipe or civil-asset phases within the relevant CNAIM and regulatory context.
The capability provides a consistent, risk-based view of network assets and strengthens the connection between condition evidence, investment decisions and reporting. It supports more repeatable regulatory traceability and gives the operator a foundation for prioritizing maintenance and replacement through health and criticality.