FREE WEBINAR
Expert insights from Verdantix: how agentic AI is redefining EHS and compliance
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Join Verdantix Senior Manager Chris Sayers and Ideagen CTO John Molamphy for a research-driven discussion on AI adoption in EHS and compliance. Discover where the market is heading, common implementation pitfalls and practical strategies for deploying AI that delivers measurable results.
Key takeaways:
- Understand current AI adoption rates in EHS and compliance based on Verdantix's survey of 304 professionals, including the 61% planning to increase AI use in 2026
- Learn the proven AI use cases converging in 2025 and how agentic AI will transform EHS and compliance workflows in 2026 according to market research.
- Discover the critical groundwork required before deployment, including data quality, governance frameworks and internal AI literacy
- Explore strategies for moving from pilot purgatory to enterprise-wide scaling, with lessons from mature AI sectors like finance and healthcare
- Gain practical advice on change management, including how to bring teams along the AI journey and address job security concerns
- Understand how EHS and compliance professional roles will evolve from data entry toward strategic orchestration and continuous improvement
- Learn which barriers organisations face most often from cybersecurity concerns to unclear ROI and research-backed approaches to address them
About the presenters
John Molamphy
Chief Technology Officer
Ideagen
John is Ideagen's Chief Technology Officer and has with 25+ years of experience delivering innovative products and solutions. He has a proven track record leading large scale software companies in the US and Europe, ranging from high growth start-up to Fortune 50.
Chris Sayers
Senior Manager - AI Applied, Verdantix
Ideagen
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 2020, where he focused on EHS software, and has previous experience at EY, where he specialised in robotic process automation. He holds an MEng in Engineering Science from the University of Oxford, with a focus on machine learning and machine vision.

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