Lineman
Storm restoration
What You Do Today
Respond to storm damage — broken poles, downed conductors, blown transformers. Work extended shifts (16+ hours) in severe weather conditions to restore power as safely and quickly as possible, prioritizing critical facilities.
AI That Applies
AI optimizes restoration sequencing by analyzing damage reports, customer count per circuit segment, and critical facility locations to maximize customers restored per crew-hour.
Technologies
How It Works
For storm restoration, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Dispatch makes more informed prioritization decisions with AI-optimized restoration sequences.
What Stays
Everything about the physical work — assessing damage safely, rigging broken poles, re-stringing conductors, and the sheer endurance required for storm restoration shifts.
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 storm restoration, 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 storm restoration 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 data do we already have that could improve how we handle storm restoration?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with storm restoration, and what tools are they already using?”
They understand the workflow dependencies that AI tools need to respect
a frontline supervisor
“If we brought in AI tools for storm restoration, what would we measure before and after to know it actually helped?”
They see the daily reality that AI tools need to fit into
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.