AI OSHA Safety Compliance Monitoring Agent

How Cassidy automates(header-using-ai)

Step 1: Trigger on safety event detection

The Workflow activates when a connected computer vision system or IoT sensor flags a PPE violation, zone intrusion, or near-miss event—capturing the timestamp, camera ID, rule triggered, and confidence score.

Step 2: Enrich and classify the event

Cassidy pulls context from your Knowledge Base—zone-specific PPE requirements, equipment rules, and risk classifications—to determine severity and whether the event qualifies as a near-miss, unsafe act, or potential recordable incident.

Step 3: Route for human review

Using Human-in-the-Loop, supervisors receive alerts with anonymized video clips or snapshots. They can verify, dismiss, escalate to a full incident, or initiate a corrective action—all within the Workflow.

Step 4: Auto-populate OSHA forms

When an event becomes a recordable injury or illness, Cassidy applies 29 CFR 1904 decision logic and auto-fills Form 301 (Incident Report), updates the Form 300 Log with case classification and days away/restricted/transfer, and maintains a rolling Form 300A Summary.

Step 5: Generate CAPA and work orders

Cassidy creates corrective action tasks linked to the incident—assigning owners, due dates, and follow-up verification—and can push work orders to your CMMS for engineering fixes like guarding repairs or aisle repainting.

Step 6: Update dashboards and export for ITA

Live metrics flow to your safety dashboard: PPE compliance rates, near-miss counts by zone and shift, TRIR, and DART. When the March deadline approaches, Cassidy generates a compliant CSV export for OSHA's Injury Tracking Application.