Field Technician
Responding to outages and restoring service
What You Do Today
Get dispatched to outages — locate the fault, assess the damage, make repairs or reroute power, and restore service. Could be a blown fuse, a downed wire, or a transformer failure.
AI That Applies
AI analyzes smart meter data to precisely locate fault areas, predicts root cause based on weather conditions and equipment age, and recommends restoration sequences.
Technologies
How It Works
The system ingests smart meter data to precisely locate fault areas as its primary data source. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The output — restoration sequences — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
You arrive knowing more about what you'll find. AI narrows the fault location from 'somewhere on this feeder' to 'between pole 47 and pole 52.'
What Stays
Finding the actual problem, working safely around energized equipment, and making the repair in rain, ice, or darkness — that's all you.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for responding to outages and restoring service, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long responding to outages and restoring service takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What are the top 5 reasons customers contact us, and which of those could be resolved without a human?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“How do we currently measure service quality, and would AI-assisted responses change that measurement?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.