Meter Technician
Investigating theft of service and meter tampering
What You Do Today
Detect and document unauthorized meter bypasses, tampered seals, inverted meters, and other forms of theft. Prepare evidence for prosecution when warranted.
AI That Applies
AI identifies theft-of-service patterns from AMI data — unusual consumption drops, power quality anomalies, and communication patterns that indicate tampering.
Technologies
How It Works
The system ingests AMI data — unusual consumption drops 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 results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Theft detection becomes proactive. AI flags suspicious patterns from smart meter data instead of waiting for a physical inspection to discover tampering.
What Stays
The on-site investigation, evidence collection, and the judgment about what constitutes tampering versus legitimate customer activity.
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 investigating theft of service and meter tampering, 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 investigating theft of service and meter tampering 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.