The job is not done when the fans leave. The margin can still leak for weeks.
Restoration teams move fast through intake, site work, documentation, adjusters, equipment, and invoices. AnthroSync turns that moving target into a weekly board of stuck jobs, missing proof, and margin risk.
Which jobs need documentation, billing, equipment, or owner attention nowThe board highlights the week’s exceptions: missing proof, overrun equipment, stalled adjuster handoffs, and jobs ready to bill.
Jobs, photos, equipment, estimates, and invoices. One exception board.
Your restoration workflow
- Job intake and status history
- Photos, forms, notes, and document checkpoints
- Equipment placement and pickup records
- Estimate, invoice, carrier, and adjuster status
Margin and cash exceptions
- Jobs stalled before invoice readiness
- Missing proof or documentation checkpoints
- Equipment over plan or still sitting onsite
- Weekly action list for managers and owners
Mitigation teams with moving work
- Water, fire, mold, and emergency response operators
- Owners watching cash timing and job margin
- Operations managers clearing bottlenecks
- Multi-crew teams where status lives in too many places
For restoration teams who already track jobs, but still chase answers.
This is the layer that points to stalled work, missing proof, and cash risk without asking managers to reconcile everything by hand.
Is this for emergency response, reconstruction, or both?
It can support either, but the first version usually focuses on the handoff where intake, documentation, equipment, adjuster status, and invoice timing start leaking margin.
Can this work with our job management and photo tools?
Yes. We design around the tools you already use for jobs, photos, documents, estimates, and accounting, then surface what is missing or stuck.
What does this catch that a normal job list misses?
It catches aging approvals, missing documentation, equipment days sitting past plan, unbilled work, rework, and jobs that look active but are not moving toward cash.
What would you need to see first?
A sample of recent jobs, status history, equipment days, photo or document checkpoints, estimate or invoice records, and notes about where work tends to stall.
Where does AI fit without creating risk?
AI can classify messy job notes, identify repeated delay reasons, summarize weekly exceptions, and flag documentation language that needs a human review.
What does success look like for a first build?
Fewer stalled jobs, faster invoice readiness, cleaner documentation, tighter equipment control, and a weekly view of which jobs need owner or manager attention.
Want this built for your restoration operation?
Send a few recent job timelines and the points where work stalled. We’ll tell you what the first exception board would catch.