CASE STUDY
Turning outages into opportunities: How real-time analytics recharged a grid operator’s performance
IMPACT SUMMARY
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0
%
Forecasting Accuracy
Shift from reactive to predictive outage models
0
x
Improvement in Resolution Speed
From 4-hour to sub-1-hour average issue resolution
$
0
M
Annual OPEX Savings
Enabled by smarter grid operations and analytics-driven decisions
+
0
M
Increase in Data Points Processed
Enabled by new sensor integrations and AI signal ingestion
Project Snapshot
A regional grid operator was grappling with unplanned outages and slow fault diagnostics
across a widely distributed infrastructure. Legacy monitoring systems offered delayed
insights, while disconnected operational data made it difficult to predict disruptions or
optimize maintenance schedules. As a result, field teams were often in a reactive
mode—leading to costly downtime, compliance risks, and customer dissatisfaction.
Our Solution
We designed a real-time decision intelligence layer that unified asset telemetry, weather
forecasts, and maintenance logs into a single analytics platform. AI agents continuously
scanned for fault precursors, surfaced anomaly clusters, and recommended preventative
interventions—automatically triggering alerts and optimizing crew dispatch. The system
empowered operators with predictive insights, transforming how outages were managed
and avoided.
SERVICE MIX
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Move past the hype. Get real world results – fast.
Move past the hype.
Get real world results – fast.