Future Of AI-Enabled EHS Software Solutions
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Executive Summary
AI is transforming the EHS software landscape, moving from experimental pilots to a core capability. The market is evolving along dual tracks, with established EHS platforms incorporating AI enhancements on one side and emerging AI-native solutions designed with autonomous functionality at their foundation on the other. Most vendors currently adopt a human-in-the-loop approach to ensure AI augments, rather than replaces, professional judgement. This report examines market dynamics, vendors strategies, practical applications, implementation challenges and emerging best practices to highlight how AI capabilities are reshaping the future of EHS software. EHS providers should utilize these insights to understand evolving customer requirements and strategically position themselves within this rapidly evolving marketplace to better prepare for the future.
Figure 1. AI maturity roadmap
Figure 2. Grouping of EHS software vendors
Figure 3. Adoption of AI use cases in EHS over the next two years
Figure 4. Maturity and outlook of AI categories in EHS software
Figure 5. Differences between LLM-based GenAI and agentic AI in EHS
Figure 6. Agentic AI in EHS software
About the Authors
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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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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