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Environmental Health and SafetySafety Technology

PODCAST | How is AI Improving Real-World Safety Applications?

By Benita Mehta
April 21, 2026

In this episode of the All Things Safety podcast, Matt Matsui of EcoOnline discusses the shift from reactive compliance to proactive safety intelligence.

Matsui is the Chief Operating Officer at EcoOnline. He has over 25 years of experience in SaaS, analytics, and operational consulting. He champions AI-driven safety and sustainability solutions, blending technology with human insight to create safer workplaces.

The safety industry is currently navigating a bridge between traditional manual reporting and a future defined by predictive analytics. According to Matsui, the "hype" of AI and high-tech is finally meeting real-world application, but the most effective tools remain those that solve the most human problems: administrative burnout and frontline accessibility.

"Some of our customers have told us just creating a safety checklist using AI has helped cut down a three-week task down to a three-hour task.” he said.

While AI often conjures images of autonomous robots, Matsui notes that its current value lies in efficiency. By automating the creation of safety checklists and investigative drafts, organizations are seeing massive time savings. The goal is to move beyond simple compliance into visibility and predictability.

"We believe firmly in this evolution from compliance to visibility to predictability... looking backwards and reporting on compliance to really being able to predict and improve safety,” Matsui said.

Closing Safety Gaps

One insight from the interview is why established safety programs still fail. Matsui says that traditional audits are often too reactive. Rather than waiting to find a problem during an inspection, companies should push proactive requirements, such as visual proof of rooftop safety, to all sites simultaneously to ensure risk is mitigated before an incident occurs.

The "Connected Worker" 

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Using AI Automation for Real-World Safety Applications

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For Matsui, a connected worker isn't just someone with a gadget; it’s someone operating within a seamless ecosystem. He highlights how cross-application data like merging ESG climate risk data with lone worker apps can save lives. If a hurricane is predicted, the system should automatically ping remote workers to check in and adjust PPE requirements without the user having to manually transfer data between platforms.

"It’s a cultural shift from 'I’m going to go do an audit and act on what I find' to 'I already know there's an issue...’,” he said. “I can push a checklist to every site and track compliance.”

Highlights from the Podcast Episode

  • Proven Tech vs. Hype: Mobile reporting, inspections, and centralized training are "proven." AI is currently best used to reduce repetitive administrative work (e.g., turning a three-week checklist task into a three-hour one).
  • Proactive Shift: To stop risk from slipping through the cracks, organizations must move from passive audits to "Safety Campaigns" that mandate visual proof of compliance across all sites.
  • Seamless Integration: The connected worker experience must be unified. Data should flow between systems automatically to provide real-time protection during crises like extreme weather.
  • Future Priorities: Investment should focus on mobile-first simplicity for frontline workers and extending safety culture to temporary/contractor workforces.
KEYWORDS: artificial intelligence (AI) predictive analytics recordkeeping

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Benita Mehta is chief editor of ISHN. She has been with ISHN since 2015 and has been chief editor since 2020. 

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