AI Applied Radar: AI Applied To Safety Management

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Executive Summary

This report analyses how AI technologies are being integrated in workplace safety management, focusing on key applications and their practical implementation. The analysis evaluates 16 AI use cases by examining their trustworthiness at scale, operational viability and business impact. The study explores different implementation methods, ranging from AI-enhanced commercial EHS platforms to real-time monitoring systems with edge computing and Internet of Things (IoT) solutions, as well as custom AI deployments. Through detailed analysis of market adoption patterns, technological maturity and vendor capabilities, this comprehensive report provides critical insights for corporate executives, EHS professionals and technology vendors, to help them effectively implement AI within their safety management frameworks and make informed decisions about technology investments and strategic deployments.
Introducing the AI Applied Radar analysis
Key questions answered by the AI Applied Radar analysis
AI Applied Radar analysis aligns with safety technology buyers’ demands for practical AI system deployment
AI Applied Radar for safety management
Defining the market for emerging, pilot-phase and mainstream AI technologies for safety management
Methodology overview
Identifying the three critical pillars of compelling AI use cases
Assessing the market adoption phase of AI use cases
Determining the tech availability for AI use cases
AI Applied Radar: safety management
AI-augmented use cases ready for mainstream deployment
AI-augmented use cases worthy of piloting
AI-augmented use cases for developers to continue refining

Figure 1. AI in safety management comprises four foundational technologies
Figure 2. The AI Applied Radar for safety management
Figure 3. AI Applied Radar use case groupings

About the Authors

April Choy

April Choy

Analyst

April is an Analyst at Verdantix, specializing in EHS&Q software and emerging technologies. She helps organizations navigate complex technology decisions, providing insigh…

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Chris Sayers

Chris Sayers

Senior Manager

Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in …

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Nathan Goldstein

Nathan Goldstein

Senior Manager

Nathan is a Senior Manager at Verdantix, specializing in EHS software and the convergence of sustainability, EHS and operational risk. He leads research that helps corporate d…

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