Strategic Focus: AI And the Revolution Of EHS Compliance
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Executive Summary
Artificial intelligence (AI) is continuing to make resounding developmental strides, particularly in the field of generative AI, where its use has widely infiltrated organizations’ workflows. Verdantix research finds that AI has major implications for EHS functions, affecting EHS professionals, software users and the wider workforce. AI EHS use cases align with market demand for simplified, automated and intelligent tools that can help ease the workload for often over-burdened EHS professionals. This report clarifies what constitutes an AI solution and offers advice for corporates on how to discerningly assess vendors’ AI capabilities. VPs and Directors of EHS will find a comprehensive overview of existing EHS AI use cases, as well as guidance on the data architecture required to successfully apply machine learning (ML) models for EHS.While AI offers a realm of EHS benefits, buyers cannot take vendors’ claims at face value
EHS AI use cases can be grouped into four key domains
AI projects force firms to critically assess their EHS data management systems
Figure 2. Questions to assess technology vendors’ AI capabilities
Figure 3. EHS AI use case segmentation
Figure 4. EHS use cases of AI
Figure 5. Prioritization of AI use cases for EHS
Figure 6. Work effort beneath the surface to deliver successful AI projects
About the Authors
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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Bill Pennington
VP Research
Bill is VP Research at Verdantix, where he leads analysis on the evolving and interconnected landscapes of EHS, quality, AI and enterprise risk management. His research helps ...
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