Strategic Focus: AI And the Revolution Of EHS Compliance

Published 4 December 2023 by Christopher Sayers & Bill Pennington &
AI Applied AI For EHS AI For EHS Air Emissions EHS Analytics EHS Compliance EHS Learning & Training EHS Regulatory Content EHS Software Environment, Health & Safety Ergonomics GHG Emissions Incident Management Risk Management Safety Data Sheets Worker Safety Strategic Focus

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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.

Table of contents

AI is expanding across all EHS processes
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

Table of figures

Figure 1. AI building blocks
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

Organisations mentioned

3E, 3motionAI, Benchmark Gensuite, Boston Dynamics, C3 AI, CameraMatics, COMET, Compliance & Risks, Cority, Cortexica, dorsaVi, DroneSense, EcoOnline, ehsAI, Enablon, ERM, GLYNT.AI, GOARC, Google, Highmark Interactive, IBM, Intelex, Intenseye, IsoMetrix, libryo, Microsoft, MiX Telematics, MMC Ventures, Neurala, Newmetrix, Nexar, OpenAI, Protex AI, Qlik, Quentic, RelyOn Nutec, SafetyTek, Saifety.ai, Serenity, Siemens, Snowflake, Softengi, StrongArm Technologies, Tableau, Teletrac Navman, Twill, UK Government, UK Health And Safety Executive (HSE), UL Solutions, Unifi Aviation, Urbint, US Federal Trade Commission (FTC), US Occupational Safety And Health Administration (OSHA), VelocityEHS, Xybion

About the authors

Christopher Sayers

Senior Manager
Chris is Senior Manager of the Verdantix AI Applied practice. His current research agenda focuses on enterprise AI integration and adoption, AI market trends and agentic AI. Prior to joining the AI Applied team, he was a senior EHS analyst and the Verdantix EHS software market lead. Chris joined Verdantix in 2020 and has previous experience at EY, where he specialized in robotic process automation (RPA). He holds an MEng in Engineering Science from the University of Oxford, with a focus on machine learning and machine vision.

Bill Pennington

VP Research, EHS & Risk Management
Bill is the VP Research for the Verdantix EHS & Risk Management practices. His current agenda focuses on understanding the evolution of EHS and enterprise risk management, evaluating emerging strategic risks and benchmarking technology buyers’ budgets, priorities and preferences globally.