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Walk the equipment, talk through what you find — or type it — and add photos. Get a formal inspection report: deficiency table with severities, compliance notes, and prioritized recommendations.
Walk the equipment and talk through findings — or type them. Add photos.
The AI classifies every finding: pass, monitor, deficient, critical — with severity.
Get the formal report: deficiency table, compliance notes, owner summary. Email the PDF.
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Here, you dictated one inspection into a web page. Inside Fieldproxy, inspection companies run their whole operation this way — per-asset, with history.
Every asset has a record: past inspections, deficiencies, repairs — the AI reports against that history, not a blank page.
Structured checklists per equipment type guide the tech on site; photos and signatures attach as they go.
Findings marked SEVERE trigger the workflow: equipment tagged out, owner notified, repair quote drafted.
The formal report generates itself and files to the asset — audit-ready, every time.
Next year's inspection opens with last year's deficiencies — nothing gets forgotten between visits.
Any equipment inspection with findings to document: overhead cranes and hoists, pallet racking, fire safety systems, HVAC equipment, electrical gear. The severity classification adapts to what you describe.
It cites standards (OSHA, NFPA, RMI) only where clearly applicable and flags uncertainty rather than inventing citation numbers. The report also states plainly that certification rests with the qualified inspector of record.
Same capability. Inspection companies run Fieldproxy with structured checklists per equipment type — findings, photos, and signatures captured on the tech's phone, and the report generates and files itself against the asset's history.