How Machine Intelligence is Transforming EHS & Sustainability

naem-2021-webinar-natasha -porter-benchmark-esg-800x800-min
Natasha Porter
September 23, 2025
Organizations today are under mounting pressure to enhance risk prediction, streamline compliance, and demonstrate measurable EHS impact—all in real time. Key drivers include:
  • Increasing demands from investors and regulators for real-time, transparent reporting on environmental and safety performance
  • An accelerating need for intelligent automation to preserve institutional knowledge and ensure continuity
  • The rise of digitized workflows generating massive datasets
  • The need to stay competitive, compliant, and ahead of shifting regulations
As a result, the intersection of machine intelligence and EHS has never been more relevant. Advances in AI, machine learning, neural networks, and IoT are empowering EHS leaders to meet these growing demands in multiple ways:
  • Predictive Risk Identification: AI can detect precursors and patterns that signal high-potential incidents before they occur.
  • Operational Efficiency: Using AI to automate manual, repetitive tasks like SDS indexing or breaking down detailed reports into high-level summaries frees up teams for higher-impact work.
  • Decision Support: AI tools can surface insights from large datasets, enabling faster, data-driven decisions.
  • Scalable Safety Culture: With natural language processing and multilingual capability, AI makes it easier to gather, understand, and act on frontline feedback across global sites.
If you’re interested in exploring how AI can benefit your organization, here are some tips for getting started:
  • Start with a Pilot: Identify a high-impact use case (e.g., incident reporting, audit triage, or risk prediction) and run a contained AI pilot to demonstrate ROI.
  • Partner with Proven Platforms: Use AI-enabled platforms that are already trusted in EHS to accelerate adoption with built-in best practices.
  • Focus on Data Foundations: Prioritize standardizing data inputs, metadata tagging, and structuring for AI-readiness.
  • Upskill Your Team: Provide training on how AI works, what it can do, and how to interpret AI-generated insights.
  • Measure and Share Success: Track outcomes—like reduced response times or predictive accuracy—and communicate wins to drive momentum.
AI solutions are delivering tangible improvements in visibility, responsiveness, and operational efficiency. EHS leaders who embrace these advances can help move their organizations from reactive to proactive safety and sustainability management.

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About the Author

naem-2021-webinar-natasha -porter-benchmark-esg-800x800-min
Natasha Porter
Benchmark Gensuite
Natasha Porter is the Chief Customer Officer at Benchmark Gensuite, with over 25 years in EHS and digital solutions. She's been pivotal in developing Benchmark Gensuite applications, now aiding over 425 companies globally. Her work in AI and ML has significantly advanced workplace safety technology, leading to her recognition in the Environment+Energy Leader 100 Honorees list of 2021. Natasha holds a B.S. in Civil Engineering and an M.S.E. from Johns Hopkins University.

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