Restoration Operations Software & AI

Restoration operations software — your job data already shows the supplement gaps, the subcontractor variance, and the mitigation rework. The question is whether anyone’s reading it.

Restoration operators at $15M–$80M face a margin problem that’s different from HVAC or plumbing: job costs are variable by nature, supplement approvals are inconsistent, and subcontractor coordination creates quality and margin variance that compound over time. The data to close these gaps is already in your job management system.

Where the Margin Actually Goes

Where the margin actually goes in a restoration operation.

Restoration margin loss isn’t one problem. It compounds across supplement capture, subcontractor management, and mitigation quality — all at once. Most restoration operators can name the symptoms. Almost none have seen the dollar amount tied to each one — because the data in their job management system has never been read that way.

Supplement Approval Variance

Your best project managers capture 92% of supplementable scope. Your average captures 70–75%. That 20-point gap, across 15 mitigation and reconstruction jobs per month at $25K average job value, is $900K/year in unbilled work. The job documentation to support the supplement exists. The pattern analysis to identify which PMs are leaving scope unbilled doesn’t.

15–22% of supplementable scope goes unbilled in most restoration operations

Subcontractor Quality and Cost Variance

Using 3–4 subcontractors for drywall, flooring, and HVAC coordination means your job cost per completed restoration varies by 12–18% on identical job types. Most restoration operators don’t track subcontractor cost vs. quality at the job level — which means you can’t identify which subcontractors are generating rework callbacks and which are delivering on spec.

12–18% cost variance on identical restoration job types across subcontractor networks

Mitigation Callback Patterns

Water damage jobs where the drying process isn’t completed to standard generate mold callbacks 30–60 days later. At $8K–$25K per mold remediation callback, identifying the technicians and job types generating these patterns is a high-leverage analysis. The job data to run it exists. Most operators haven’t made the analysis.

$8K–$25K per mitigation callback — 6–12% of improperly dried jobs result in mold claims
Why Existing Solutions Fall Short

Generic job management software vs. restoration operations intelligence.

Generic job management software tracks your restoration jobs. Restoration operations intelligence tells you where the supplement gaps, subcontractor variance, and mitigation failures are — and what to do about them before they compound.

What you’ve tried before

Standard job management reports from ServiceTitan or Xactimate

Shows job totals and estimate summaries. Doesn’t surface supplement capture rate by PM, subcontractor cost variance by job type, or mitigation completion patterns by technician.

Restoration business coaching programs

Addresses general supplement and subcontractor principles. Not built from your specific job data, your PM mix, your subcontractor network.

Additional software modules or estimating add-ons

Adds features inside the existing system. Doesn’t cross-reference supplement data with PM performance or trace mitigation callbacks to drying completion records.

Hiring a supplement specialist or ops manager

Adds headcount. Still requires a system to identify which job types and PM combinations are systematically under-supplementing — and by how much.

VS
What restoration operations software + AI looks like

AI reads 6–12 months of your job management data — jobs, supplements, subcontractors, costs

Pulls every job record, PM supplement outcome, subcontractor cost, and mitigation completion record from your existing system. No new platform. No migration.

Restoration-specific AI analysis: supplement capture by PM, subcontractor cost vs. quality, mitigation callback root cause

Built from your actual restoration job history — water damage, fire, mold, reconstruction. Not generic field service benchmarks.

Pre-job briefing surfaces restoration-specific risk before the crew mobilizes

Correct drying protocol for job type, prior job history at the address, subcontractor assignment recommendations, callback risk flag. Delivered in the existing job management card.

Weekly drift detection across supplement rate, subcontractor cost variance, and mitigation callback rate

Monitors every PM’s supplement capture and every subcontractor’s cost vs. quality performance weekly. Flags the patterns before they compound into a quarterly margin problem.

Engineer + Software

How the engineer and AI find the margin in a restoration operation.

Four tools. One engineer on-site. The first 30 days are diagnostic — no changes, just numbers.

Job Management API Connector

6–12 months of supplement, subcontractor, and cost data — in 72 hours

AI connects to ServiceTitan, Xactimate integration, or restoration-specific systems via API and reads 6–12 months of job records — supplement approval rate by PM, subcontractor cost vs. quality metrics, and mitigation completion patterns. The full restoration operational picture from your existing job management data.

Supplement Capture Analysis

Which PMs are leaving scope unbilled — and by what dollar amount

Cross-references job documentation with approved estimates — identifies which job types and PM combinations are systematically under-supplementing and by what dollar amount. Surfaces the 20-point gap between top and average PM supplement capture before it runs another quarter unbilled.

Subcontractor Performance Monitoring

Cost per job and callback rate by subcontractor and job type

Tracks cost per job and callback rate by subcontractor and job type — surfaces which subcontractor relationships are generating the most rework and margin erosion. Delivered as a ranked subcontractor scorecard updated each week from your job management data.

Restoration Drift Detection Engine

Weekly monitoring of supplement rate, subcontractor variance, and mitigation callbacks

AI monitors supplement approval rate, subcontractor cost variance, and mitigation callback patterns weekly — flags trends before they compound into a monthly job cost problem. 3–4 week lead time before the pattern shows up in the monthly P&L.

Measured Outcomes

What restoration operators measure after 90 days.

Field
15–20
% Improvement
Supplement Approval Rate
Closing the gap between top-PM and average-PM supplement capture across the job roster.
Field
10–15
% Reduction
Subcontractor Cost Variance
Identifying which subcontractor relationships are generating rework and margin erosion by job type.
Field
30–40
% Reduction
Mitigation Callback Rate
Tracing mold callbacks to drying completion patterns and deploying mitigation completion standards.
Field
3–5
Pts GM
Improvement Across Job Roster
Full callback root cause, supplement gap, and subcontractor variance analysis delivered in the first audit phase.
Related Pages

Other trade verticals:

The Measured Pilot Guarantee

If we don’t identify $200K, you pay nothing.

Our Full-Operation Audit (Days 1–30) maps every restoration margin leak — supplement gaps by PM, subcontractor cost variance, and mitigation callback root causes. 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.

Zero risk. Full-operation visibility. Founding customer pricing: 40% below standard rates.
Start Here

45 minutes. Your restoration data.
No commitment.

We’ll start with a recent export or sample job data from your job management system, show you the supplement gaps, subcontractor variance, and mitigation callback patterns, and scope the engagement. Full access happens only if you proceed to the audit.

Accepting 2–3 founding operators · $15M–$80M revenue · ServiceTitan, Xactimate, or restoration job management · Mitigation and reconstruction