Asset Utilisation Optimisation · POWER UTILITIES
Substations that anticipate and respond, not just monitor.
Most utilities still manage substations through disconnected SCADA, EAM and GIS tools, leaving the grid reactive to failure and slow to coordinate. The XMPro AO Platform integrates SCADA, AMI, IEDs and engineering systems into a real-time digital twin — surfacing predicted failures, ranked recommendations and role-specific dashboards across the substation fleet.
What's getting in the way today.
Substation operations sit at the intersection of operational and information technology — and the gaps cost the grid. Five pressures compound:
Fragmented visibility
Disparate views across SCADA, EAM, GIS and engineering systems give operators an incomplete picture of asset condition and performance.
Reactive maintenance
Time-based schedules or post-failure response leave assets either over-serviced or out of action when they shouldn’t be.
Cross-functional delay
Control room, field crew and asset management teams operate from different data, slowing coordination on incidents that span them.
Knowledge attrition
Equipment expertise lives in experienced engineers’ heads and walks out the door when they retire.
Limited predictive capability
Without continuous correlation across telemetry, GIS and maintenance data, forecasting failure before it becomes critical is structurally hard.
Unified Substation Operations — how it works.
A unified, real-time digital twin of every substation — fed by the sensors and systems already in service, ranked by predicted failure mode and surfaced through role-specific dashboards for operators, field crews and executives.
The platform ingests real-time telemetry from SCADA, AMI and IEDs alongside contextual data from GIS, EAM and engineering systems — supporting utility protocols including DNP3, IEC 61850 and Modbus. Composite reasoning combines rule-based logic, predictive analytics, causal models and generative agents to detect anomalies, anticipate equipment issues and autonomously initiate appropriate responses. Predictive models evaluate time-to-failure, load impact and degradation across transformers, switchgear and supporting assets, with ranked recommendations routed through configurable approval workflows. Interactive 2D/3D digital twin views and role-specific dashboards (control room, field engineer, executive) drill from grid-level health into individual substation assets, with human-in-the-loop escalation throughout.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Unified operating picture
OT, IT and engineering data flow into a single view of substation health, replacing the silo-by-silo monitoring that hides cross-functional risk.
Predicted condition, not calendar guesses
Transformer, breaker and switchgear degradation signals surface days ahead of failure, so work moves from reactive to scheduled.
Knowledge that survives the workforce
AI co-pilots tied to equipment history and operational best practice put expert guidance on every operator’s screen — including the newest one.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
