Lineman
Equipment testing and inspection
What You Do Today
Test and inspect distribution equipment — reclosers, switches, capacitor banks, voltage regulators. Perform infrared scanning to identify hot connections, check oil levels, and verify proper operation.
AI That Applies
AI analyzes infrared scan data and equipment test results to prioritize inspections on equipment showing degradation patterns, rather than inspecting everything on a fixed cycle.
Technologies
How It Works
The system ingests infrared scan data and equipment test results to prioritize inspections on equip as its primary data source. 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
Time-based inspection cycles evolve toward condition-based inspection prioritized by AI risk scoring.
What Stays
Operating test equipment, interpreting results in context, and the physical access challenges of inspecting equipment on poles, in vaults, and in substations.
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 equipment testing and inspection, 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 equipment testing and inspection 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 equipment testing and inspection?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with equipment testing and inspection, 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 equipment testing and inspection, 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.