New Technology Transforms Workplace Safety by Automating Identification of Potential Serious Injury and Fatality (SIF) Incidents
Breaking News
Benchmark Gensuite, a leading provider of enterprise-scale EHS and Sustainability software solutions, has announced a new patent for its Potentially Serious Incident (PSI) AI Advisor. This groundbreaking technology utilizes advanced natural language processing (NLP) and artificial intelligence (AI) to automatically extract, elevate, and summarize key details from incident reports and safety observations, empowering EHS teams to proactively mitigate risks and prevent serious injuries and fatalities (SIFs).
A Major Challenge in the Industry
Tracking and addressing SIFs is a significant challenge for many organizations. Incident reports are often complex, unstructured, and siloed across systems, making it difficult for EHS teams to identify high-risk precursors and take timely action. The identification and classification of SIFs can be a slow, manual process requiring extensive precursor tracing.
Introducing the PSI AI Advisor
The PSI AI Advisor streamlines this process by structuring and automating the analysis, enabling EHS teams to focus on prevention rather than paperwork. This innovative technology realizes the AI promise of breaking down large, complex EHS data streams and delivering critical, actionable insights.
How it Works
Built on the Benchmark Gensuite Data Ocean, a knowledge base of over 77,000 verified, publicly available serious injury and fatality records, the PSI AI Advisor enhances traditional risk and incident evaluation with machine learning technology that can prioritize activities demonstrating the greatest potential to lead to a more severe incident.
Key Benefits
The PSI AI Advisor offers several key benefits, including:
Enhanced Incident Reporting
Captures and organizes critical incident details in real-time, ensuring reports are thorough and actionable.
AI-Driven Risk Detection
Analyzes historical safety data to identify emerging patterns and potential hazards, helping organizations proactively address hidden risks.
Automated Alerts and Analytics
Provides users with real-time alerts on serious incident precursors and comprehensive safety analytics dashboards to support rapid response.
Real-World Success Story
HEICO, a Benchmark Gensuite customer, rapidly deployed the PSI AI Advisor and, by operationalizing the insights programmatically, experienced a significant reduction in both the frequency and severity of workplace incidents across its facilities, ultimately helping to reduce workers’ compensation costs by 60%.
Conclusion
The PSI AI Advisor is a game-changer in the world of EHS, empowering organizations to proactively mitigate risks and prevent serious injuries and fatalities. By automating the identification of potential SIF incidents, EHS teams can focus on prevention rather than paperwork, ultimately saving lives and reducing the financial burden of work-related injuries.
FAQs
Q: What is the PSI AI Advisor?
A: The PSI AI Advisor is a new technology that uses advanced natural language processing (NLP) and artificial intelligence (AI) to automatically extract, elevate, and summarize key details from incident reports and safety observations, empowering EHS teams to proactively mitigate risks and prevent serious injuries and fatalities (SIFs).
Q: What are the key benefits of the PSI AI Advisor?
A: The PSI AI Advisor offers enhanced incident reporting, AI-driven risk detection, and automated alerts and analytics, enabling EHS teams to identify high-risk precursors, prioritize activities, and take timely action.
Q: Can you provide a real-world example of the PSI AI Advisor’s success?
A: Yes, HEICO, a Benchmark Gensuite customer, experienced a significant reduction in both the frequency and severity of workplace incidents across its facilities, resulting in a 60% reduction in workers’ compensation costs.
Q: How does the PSI AI Advisor work?
A: The PSI AI Advisor is built on the Benchmark Gensuite Data Ocean, a knowledge base of over 77,000 verified, publicly available serious injury and fatality records, and uses machine learning technology to prioritize activities demonstrating the greatest potential to lead to a more severe incident.
