Electrical operations at $20M–$80M typically run 10–16% callback rates on diagnostic jobs, 8–12 point GM spreads between top and bottom techs, and 30–45% of unsold estimates never followed up. The data to close these gaps is already in your FSM.
Electrical margin loss isn’t one problem. It’s three or four compounding failures across job type execution, commercial cost tracking, and apprentice ramp. Most electrical operators can name the symptoms. Almost none have seen the dollar amount tied to each one — because the data sitting in their FSM has never been read that way.
Electrical diagnostic work — service calls, panel assessments, troubleshooting — generates the highest callback rates in the trade. A 50-tech electrical shop at 12% callback is burning $18K–$22K/month on rework. The FSM has the pattern by tech and job type. Nobody has run the analysis.
12% callback rate on diagnostic jobs = $18K–$22K/month in rework for a 50-tech shopCommercial jobs have longer cycle times, more subcontractor coordination, and different labor cost structures. Most electrical operators don’t track GM separately by commercial vs. residential — which means the margin bleed is invisible until it hits a quarterly review. The data to separate them is already in the FSM.
8–12 point GM spread between top and bottom techs — visible in FSM data, not in standard reportsElectrical licensing requirements create a built-in ramp constraint. A new apprentice takes 8–14 months to reach journeyman-level productivity. That’s $20K–$35K in slow-ramp cost per hire. Operators running a knowledge system cut that to 4–6 months — because the top journeyman’s decision logic is documented and deployable, not tribal.
$20K–$35K in slow-ramp cost per apprentice hire — cuttable to 4–6 months with a knowledge systemGeneric field service software tracks your electrical jobs. Electrical operations intelligence tells you why your margins are where they are — and what to do about it before the rework compounds.
Shows revenue totals and job counts. Doesn’t surface GM variance by tech, callback rate by job type, or commercial vs. residential margin split.
Addresses general business principles. Not built from your specific data, your job types, your commercial mix, your licensing structure.
Adds features inside the existing system. Doesn’t cross-reference your FSM data with call recordings or analyze 12 months of dispatch outcomes by job type.
Adds headcount. Still requires a system to tell them what to look for — callback root cause by job type, commercial margin bleed, apprentice ramp by hire cohort.
Pulls every job record, technician performance metric, and job type combination from your existing FSM. No new platform. No migration.
Built from your actual electrical job history — panel replacements, service calls, commercial installs, diagnostic work. Not generic field service benchmarks.
Callback risk flag, prior job history at the address, recommended parts for the job type. Delivered in the existing FSM job card before the tech departs.
Monitors every tech’s performance against baseline daily. Flags apprentice underperformance before it compounds into a ramp cost problem.
Four tools. One engineer on-site. The first 30 days are diagnostic — no changes, just numbers.
AI connects via API and reads 6–12 months of electrical job records — panel replacements, service calls, commercial installs, diagnostic work. Callback patterns by tech and job type. GM by job category. Dispatch outcomes by commercial vs. residential split. Cross-referenced automatically, without exports, before Week 1 ends.
AI identifies which electrical job types generate the most callbacks — panel diagnostics vs. new installation vs. service call — and flags which techs are above threshold on each. The pattern by tech and job type exists in your FSM. This is the analysis your standard reports have never run.
Separates commercial from residential in the data layer. Calculates true GM per job including subcontractor costs, permit time, and return visits. Surfaces where commercial margin is eroding before it hits the P&L. The data is already in the FSM — it just hasn’t been joined and read this way.
Tracks new-hire performance against journeyman baseline weekly — callback rate trend, GM per job trend, job type progression. Flags underperformance before it compounds. Deploys the top journeyman’s decision logic as pre-job context for every apprentice before they arrive on site.
Our Full-Operation Audit (Days 1–30) maps every electrical margin leak — callback root causes by job type, commercial vs. residential GM variance, apprentice ramp cost, and dispatch patterns. If we don’t identify at least $200,000 in recoverable annual revenue, we refund Phase 1 in full. You keep all audit deliverables.
After kickoff, we ask for about 30 minutes a week of your ops leader’s time.
We’ll start with a recent export or sample job data from your FSM, show you the biggest margin gaps and callback patterns by job type, and scope the engagement. Full API access happens only if you proceed to the audit.