Grid-edge intelligence across 9 countries.
The utility had modernised generation forecasting, but its distribution operations still relied on fragmented alarm consoles and regional workflows. We built a grid-edge intelligence layer that joined asset, weather, field, and customer signals fast enough to change operational decisions in flight.
The situation we walked into.
Grid telemetry, field operations, weather services, and customer communications all existed, but they were consumed by different teams on different tools. That made it difficult to isolate faults quickly or rebalance crews during severe weather and renewables volatility.
The utility wanted a system that operators would actually trust in the middle of an event. That meant strong correlation logic, clear confidence signals, and field workflows that stayed usable under pressure.
A simplified view of the delivery shape, the control points that mattered, and the signals the client team used to keep the program on track.
The changes that made the outcome possible.
Edge telemetry model
Substation, feeder, meter, and weather signals were normalised into a shared event backbone.
Correlation engine
Signal fusion narrowed likely fault locations and surfaced recommended dispatch paths with visible confidence scores.
Field integration
Dispatch, crew availability, and restoration progress were connected to the same operations workspace.
Resilience drills
Regional teams rehearsed storm scenarios using the new tooling before it became the default operating model.
How the delivery moved from pilot to scaled operation.
Regional pilot
Two control rooms and one severe-weather corridor adopted the event model and dispatch workspace.
Signal expansion
DER, smart-meter, and weather feeds increased correlation quality and narrowed false positives.
Field rollout
Crew, contractor, and customer-notification flows moved into the same operational cadence.
Cross-border scale
Nine-country operations teams adopted shared thresholds and joint storm playbooks.
What changed after the transformation settled into the run.
Operators acted on stronger evidence
Fewer alarms required manual correlation and dispatchers saw restoration options before customers started calling.
Renewables variability became manageable
The utility could integrate more distributed generation without overwhelming regional operations teams.
Storm response matured materially
Control rooms, crews, and communications teams finally worked from the same event picture during peak disruption.
Our control rooms stopped being collectors of alarms and became decision centres.Chief Operations Officer - European utility