AI Incident Reporting Software: From Near Miss to Corrective Action — Automatically

The Problem with Manual Incident Reporting

1. Only 4% of near misses and unsafe conditions are ever reported in traditional systems
2. Workers underreport due to fear of blame, time pressure, and complex reporting processes
3. Paper and email-based systems lose data, delay investigation, and produce no trend insights
4. Without data, safety managers cannot identify systemic hazards or measure improvement

How SAFVR's Incident Reporting Works

• AI cameras automatically detect and log near miss events, unsafe conditions, and behaviours — no manual reporting required for the majority of events
• Workers can report incidents via mobile app in under 60 seconds — with photo, voice, or text input
• Each report automatically triggers an investigation workflow with assigned responsible parties and due dates
• Root cause analysis tools guide investigators through structured analysis
• Corrective and preventive actions (CAPAs) are tracked to close-out with automatic reminders
• TRIR, LTIR, and DART rates are calculated automatically from incident data

Key Platform Features

1. AI-powered automatic incident detection for near misses, unsafe acts, and unsafe conditions
2. Mobile incident reporting app for iOS and Android
3. Configurable investigation workflows with 5-Why and bowtie analysis templates
4. CAPA management with due date tracking and escalation
5. OSHA 300/300A log automation
6. Real-time safety KPI dashboard for TRIR, LTIR, near miss rate, and CAPA close-out rate