
Snagging Inspection Checklist
Catch defects before handover and generate punch list reports in minutes. Room-by-room finish checks, evidence, and corrective actions.
Convert your checklist into Mobile App
Unplanned equipment failures cost enterprises millions annually in downtime, repairs, and lost productivity. Inspectly360's Asset & Equipment Maintenance solution shifts your maintenance strategy from reactive to preventive. Schedule systematic equipment inspections, track asset conditions with photo documentation and AI analysis, automatically generate work orders from inspection findings, and integrate seamlessly with your existing CMMS platform.
Outcomes teams see after standardizing on Inspectly360.
Get Started With Inspection And Audit Checklist Templates.

Catch defects before handover and generate punch list reports in minutes. Room-by-room finish checks, evidence, and corrective actions.

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Capture job details, measurements, work performed, photos, and sign-offs in one structured field service report form.
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When an inspection in Inspectly360 reveals an issue (failed item, defect, or condition below threshold), the system can automatically create a work order with description, priority, photos, location, and assigned technician, then push it to your CMMS. The link between inspection finding and work order is preserved so you have full traceability from inspection to maintenance to completion. Rules are configurable so you control which findings trigger work orders and how they are prioritized.
Yes. Inspectly360 integrates with IBM Maximo, SAP PM, ServiceNow, Fiix, UpKeep, and other leading CMMS platforms via API. Work orders, asset data, and maintenance history can flow bidirectionally so inspectors see asset context and maintenance teams see inspection-driven work. Custom integrations are possible via REST API and webhooks for other CMMS or EAM systems.
Yes. Beyond time-based scheduling, Inspectly360 can trigger inspections based on equipment runtime hours, vibration readings, temperature thresholds, or other measurable condition parameters via API or integrations. This supports condition-based and predictive maintenance strategies so you inspect when data suggests it's needed, not only on a fixed calendar. Inspection results can feed back into condition models for continuous improvement.
Inspectly360's Edge AI analyzes inspection photos over time, comparing current conditions to baseline or prior images. The system can detect and quantify wear progression, corrosion growth, and other degradation patterns so maintenance and reliability teams see trends before failure. This supports predictive maintenance and capital planning by highlighting assets that are degrading faster than expected.