Insights.
Analysis on safety reporting, AI in EHS, sustainability and climate disclosure, assurance readiness, reporting governance, and evidence trails — for the teams accountable for high-stakes records.
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The Watchful Eye: What AI Safety Monitoring Actually Delivers
Computer vision and wearables are on the factory floor at scale — from Intenseye and Protex AI to exoskeletons and Amazon’s cautionary tale. Where AI safety monitoring works, where it backfires, and the thin line between protection and surveillance.
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Digital Twins for Safer, More Sustainable Organisations
Digital twins connect live operational data, simulation, asset history, and safety intelligence so organisations can see where risk is accumulating, where energy is being wasted, and which interventions will matter most.
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The Leading-Indicator Problem: Why Lagging Metrics Still Dominate Safety Dashboards
Every safety leader says they want to get ahead of incidents—then opens the monthly deck and the first slide is still TRIR. Why leading indicators stay theoretical, and what a credible program actually looks like.
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How AI Is Transforming Safety Event Reporting
AI turns incident data from a reactive record into proactive intelligence—improving event capture, structuring narratives at scale, and surfacing high‑risk patterns that traditional methods miss.
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EU AI Act enters force for workplace risk systems
High-risk obligations now apply to AI tools used in occupational health and safety. What employers must document, audit, and disclose.
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Why near-miss reporting still falls short on the frontline
A multi-industry study finds that under-reporting persists even with mobile tools — language and form friction remain the dominant barriers.
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Updated guidance on multilingual incident documentation
Federal guidance reinforces the obligation to capture worker statements in their native language and preserve original transcripts in the record.
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Voice interfaces and the future of frontline reporting
Joint brief on conversational capture as a route to higher-quality safety data in mining, construction and logistics, where literacy and language vary widely.
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