AI-Powered Incident Review & Analytics for QA/QC Teams

  • Industry: Oil & Gas (Semi-Government)
  • Timeline: 8 to 12 Months
  • Team Impact: 90 to 100 QA/QC Specialists
  • The Challenge: Manual incident reviews were slow and prone to human error. Inconsistent classification made it nearly impossible for leadership to identify real-time trends or perform accurate root-cause analysis for safety incidents.
  • The BroadAxis Solution: BroadAxis implemented a Copilot-driven analytics platform. Using GPT-4, the system automatically classifies incidents, flags inconsistencies for human review, and generates real-time visual dashboards for actionable safety insights.

Business Impact:

1

Automation:

70% reduction in manual review time.
2

Safety:

Real-time dashboards highlight trends before they become critical risks.
3

Reliability:

Improved data consistency across the entire QA/QC workflow.
Turn your incident data into actionable safety intelligence