-
Predict before failure
Feeder reliability, predicted before failure.
Unified AI‑Driven Reliability Intelligence for Modern Utilities
FRaaS turns outage management into a predictive AI service: instead of reacting after a feeder trips, operations teams see risk early, act fast, and reduce outage duration with intelligence from data
What the AI delivers
6,748
AI risk scores generated weekly.
3
Three failure modes predicted.
18
Districts covered by the FRaaS model.
- Data 360
- Agentforce
- Tableau Next
THE CHALLENGE
Reactive repairs are slow and costly
Today, faults happen, complaints follow, crews travel, and power is restored later – consumers wait longer, field teams are under pressure, and revenue is lost.
- No visibility into feeders nearing failure.
- Teams react to complaints instead of preventing outages.
- Long outages impact service, billing, and customer experience.
Result
Maintenance stays reactive, scattered, and hard to prioritize across the grid.
THE AI SOLUTION
AI-powered feeder health insights
FRaaS assigns feeder risk scores and recommends actions before failures occur.
Risk Prediction
AI predicts Earth Leakage, Overload, and Breakdown risks.
Action Guidance
AI recommends preventive actions for high-risk feeders.
Visual Control
Live GIS risk map with color-coded feeder status.
Proactive Alerts
Automated alerts for new risks and predictions.
KEY DIFFERENTIATORS
AI-Driven Reliability Intelligence
FRaaS unifies SCADA, CRM, weather, and interruption data to deliver predictive reliability insights.
- Weekly AI scoring for thousands of feeders.
- High, Medium & Low risk classification.
- Live Tableau GIS dashboards for feeder visibility.
- Powered by Data Cloud 360, Agentforce & Tableau Next.
IDEAL FOR
Target Industries
FRaaS helps utilities and system integrators shift from reactive outage management to predictive reliability.
Transmission corporations
Managing large feeder networks.
Utility system integrators
Building AI-powered Salesforce solutions.
Power distribution organizations
Optimizing field crew priorities.
Current vs future
Before AI vs after AI.
✕
Before AI
❌
Failure First
Feeder fails → complaint → crew dispatched → power restored.
⚠️
Reactive MaintenanceReactive, scattered, urgency-driven instead of evidence-based.
→
★
After AI
✨
Predictive AIAI predicts high-risk feeders and prevents failures before they happen.
📊
Guided MaintenancePrioritized, evidence-driven, measurable maintenance across districts.
Business value
What customers get.
-
Reduced Outages
Preventive actions minimize unexpected interruptions.
-
Smarter Crew Deployment
Field teams are sent to the right feeders first.
-
Improved Reliability
Fewer emergency callouts and better citizen service.
-
Unified Operations View
One live dashboard for engineers and leadership.
FUTURE UPGRADES
Smarter AI with Real-Time Insights
Enhance FRaaS with live SCADA data and continuous AI learning for faster, more accurate predictions.
- Real-Time SCADA – Live feeder risk updates.
- Predictive Intelligence – Enhanced AI forecasting
- Self-Learning AI – Improves with field feedback.