Your EHS system thinks everything is fine. Is it?

Your incident reports are being submitted, your inspections are logged, your training completion rates look solid. On paper, your EHS programme is working. But here's the question nobody's asking: is any of it actually making your workers safer?

CLOSE

Key takeaways:

  • Why completion rates and submission volumes are the wrong metrics and what to measure instead.
     
  • How the language your workforce uses in safety reporting shapes what AI can (and can't) do with it downstream.
     
  • What EHS professionals lose when their role becomes about administering systems rather than driving safety outcomes and how to get it back.
     
  • What 'good' AI deployment in EHS actually looks like versus what gets oversold. 

About this webinar:

Most EHS systems were built to capture activity - forms submitted, boxes ticked, audits filed. And for years, that was enough. Then AI entered the picture. And suddenly, the quality of what goes into your system determines everything that comes back out. Vague language, fatigued workers entering minimal detail, terminology used inconsistently across sites - AI doesn't fix those problems. It learns from them. It scales them.

In this webinar, IOSH's Dr Chris Davis and Ideagen's Pamala Bobbitt make an argument that most EHS software vendors won't: that the gap between engaging with a safety system and actually getting safer is wider than most organisations realise - and that closing it requires rethinking not just the technology, but the language, the data, and the purpose behind it all.

Meet our speakers

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