Distribution Engineer
Joint use and attachment management
What You Do Today
Manage pole attachments from telecom, cable, and broadband companies. Review attachment applications for structural adequacy, ensure make-ready work is completed, and resolve double-wood and overloaded-pole conditions.
AI That Applies
AI analyzes pole loading data from LiDAR surveys and structural calculations to expedite attachment reviews and identify structurally deficient poles across the system.
Technologies
How It Works
The system ingests pole loading data from LiDAR surveys and structural calculations to expedite att 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
Pole loading analysis accelerates dramatically with AI-assisted structural calculations from LiDAR data.
What Stays
Negotiating with attachment companies, resolving field conflicts between utilities on shared poles, and managing the make-ready process.
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 joint use and attachment management, 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 joint use and attachment management 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 joint use and attachment management?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with joint use and attachment management, 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 joint use and attachment management, 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.