EHS teams are stretched thin: what's driving rising responsibilities and risk

ISHN’s interview with Benchmark Gensuite CEO R. Mukund unpacks the workforce and operational pressures behind rising injury data in the 2026 EHS Benchmarking Report. Turnover, compressed timelines, and reporting friction are converging on EHS teams faster than most organizations are staffed for. Here’s what’s actually driving the strain — and what it will take to relieve it.

published

March 19, 2026

Originally covered by

TOPIC

· Product launch

  • R. Mukund, Founder & CEO, Benchmark Gensuite
    Founder & Chief Executive Officer

As covered in

ISHN

━ Overview

ISHN sat down with Benchmark Gensuite CEO R. Mukund for a wide-ranging Q&A on the workforce and operational pressures behind the 2026 EHS Benchmarking Report’s injury data — covering turnover, contractor risk, time shortages, underreporting, and the limits of AI adoption so far.

This page pulls the most substantive threads from that conversation into a single view of what’s actually driving the strain on EHS teams right now, and adds the operational context for what organizations can do about each pressure point.

━ Benchmark Gensuite Perspective

Why EHS teams are stretched thin — and why it's not a commitment problem

The instinctive read on rising injury rates is a discipline problem — a training gap somewhere, a policy nobody’s enforcing closely enough. That read doesn’t match up with what’s actually happening on EHS teams right now. Responsibilities have expanded on multiple fronts at once: sustainability reporting, emergency preparedness, and compliance expectations are all growing at the same time production demands continue to rise. Serious injuries are usually preceded by near misses or small deviations, and when teams are stretched thin across a wider mandate, they simply have less capacity to catch those warning signs early or act on them.

A large part of that strain traces back to the workforce itself. As experienced tradespeople retire and turnover climbs, a growing share of any given crew is new to the job or newly reassigned to it — and new hires are statistically the ones most likely to get hurt, simply because the instincts that keep a veteran out of trouble take time to develop on the floor, not simply a classroom session to complete. Contractors and temporary labor widen that gap further: most vetting still checks whether the right paperwork is on file, not whether the person actually knows the hazards of the specific site they’re walking into.

Time shortages compound both problems. Facilities are running at higher utilization with less downtime for inspections, coaching, and refresher training. When schedules tighten, onboarding gets delayed and safety activities get compressed — which shows up later as improper equipment use, rushed task execution, or gaps in oversight that widen over time.

“The increase reflects strain, not lack of commitment.”

— R. Mukund, Founder & CEO, Benchmark Gensuite

Underreporting is the piece that makes all of this harder to see coming. Nearly all organizations Benchmark Gensuite surveyed now say incidents, hazards, or near misses go underreported — and the honest explanation isn’t a culture problem, it’s a design problem. Ask a worker to pause a task, find a terminal, and re-enter what just happened somewhere else, and most of that information simply evaporates instead of getting logged. The fix isn’t a new reporting policy; it’s putting hazard capture inside the workflow the person is already standing in, so noticing something and recording it are effectively the same motion.

AI adds a final, counterintuitive wrinkle: adoption of generative and agentic AI across EHS teams is now nearly universal, yet it hasn’t moved injury rates. That’s because most of that use is still administrative — drafting documentation, summarizing incident reports, prepping for audits. Real, efficiency, but it doesn’t touch hazard exposure. Prevention requires connecting AI to the operational data — maintenance activity, workforce scheduling — where risk decisions actually get made, and most organizations haven’t gotten there yet.

Taken together, these pressures compound rather than operate independently. A team facing turnover, tighter schedules, weaker reporting visibility, and administrative-only AI use is effectively operating with a shrinking instrument panel. Closing that gap isn’t one intervention — it’s addressing all four pressure points at once.

━ Key themes

Three things to understand about the EHS capacity crunch

  1. 1
    The injury data reflects a structural mismatch, not a motivation problem
    Safety systems designed for predictable operations are now supporting far greater operational variability — new suppliers, shifting production schedules, more contractor labor — without a corresponding increase in EHS capacity. The imbalance shows up in the incident numbers before it shows up anywhere else.
  2. 2
    Underreporting is a friction problem, not a culture problem
    Incentive programs and messaging campaigns address willingness. But when the reporting workflow itself requires stopping work and switching systems, willingness isn't the bottleneck — accessibility is. Point-of-work capture closes the gap that culture initiatives alone can't.
  3. 3
    Near-universal AI adoption hasn't moved safety outcomes — because it's not embedded in operational decisions
    The gap isn't adoption, it's integration. AI applied to drafting and summarization improves efficiency without touching the moment where a risk decision actually gets made. That requires connecting AI to scheduling and maintenance data directly, not just to documentation. .

━ What this means for EHS leaders

Operational implications

  • EHS leaders overseeing multi-site or high-turnover operations need visibility into onboarding volume and tenure distribution at each site, not just headcount. A site with a large share of first-year workers carries meaningfully more risk exposure than headcount alone would suggest, and that risk should factor directly into where inspection and coaching time gets allocated.
  • Teams relying heavily on contractor and temporary labor should treat documentation-based qualification as a floor, not a substitute for verifying site-specific hazard familiarity. Building lightweight, performance-oriented orientation checkpoints closes a gap that paperwork review alone leaves open.
  • Compliance and safety teams managing rising reporting gaps should audit where hazard and near-miss reporting currently lives relative to where work actually happens. Moving capture into mobile, field-integrated workflows — rather than a separate system employees have to seek out — is consistently what moves underreporting rates.
  • Organizations that have already deployed generative or agentic AI for administrative tasks have a foundation to build on, not a dead end. The next step is connecting those same tools to maintenance schedules and workforce planning data so AI contributes to identifying risk before work begins, rather than only documenting it afterward.

━ Next steps

What organizations should do now

It’s tempting to treat rising injury and underreporting numbers as a headcount problem — add more EHS staff and the pressure eases. Headcount helps, but the more durable fix is closing the visibility gap between how fast operations are changing and how quickly safety systems can see and respond to that change.

Start by auditing where near misses and hazards are actually going unreported — most organizations already have a rough sense of which sites or shifts under-report, even without hard data. From there, prioritize moving hazard capture into the field workflows employees already use rather than a separate system, and structure onboarding and mentorship specifically around the higher-risk first year of employment rather than treating it as identical to ongoing training.

If you’re a current Benchmark Gensuite subscriber, the reporting and workforce visibility tools to act on this are already inside your platform — the opportunity is in how they’re deployed at the site level. If you’re evaluating EHS platforms, this data is a useful lens for that evaluation: ask any vendor specifically how their system reduces reporting friction at the point of work, not just how it stores the reports that do get filed.

━ Featured executive

Founder & Chief Executive Officer - Benchmark Gensuite

R. Mukund is Founder and CEO of Benchmark Gensuite — a role he has held since 2010. Over a career spanning more than 30 years, he has held progressive roles as a technical professional, team leader, Six Sigma Master Black Belt, and executive program manager across research and technology, consulting, corporate diversified, and cloud-based tech-enabled services organizations.

The Benchmark Gensuite platform was built under Mukund's leadership from inception. Today it supports 480+ companies globally as subscribers of its cloud-based, best-practices-driven Environmental, Health, and Safety digital business transformation software — spanning risk and compliance, sustainability and disclosure reporting, frontline operations, quality, and product stewardship. The platform serves over 8 million workers across 30+ industry sectors and 150+ countries, supported by a global team across 10 offices, and headquartered in Mason, OH.

Mukund holds an M.S. in Chemistry from the Indian Institute of Technology in Kanpur, and an M.S. and Ph.D. in Environmental Sciences & Engineering from the University of Illinois at Urbana-Champaign. He serves on the advisory board of the Indian American Chamber of Commerce of Greater Cincinnati and Northern Kentucky, and on the board of RxPredict Inc., a health and wellness startup.

Originally covered in

ISHN

March 19, 2026

Underlying research

This interview draws on findings from Benchmark Gensuite's 2026 EHS Benchmarking Report.

Frequently Asked Questions

What EHS leaders are asking

Why are workplace injury rates rising despite improving national safety trends?

National injury and illness rates reflect prior-year, lagging conditions across the broader economy. Benchmark Gensuite’s 2026 EHS Benchmarking Report captures 2025 employer-reported experience in higher-risk sectors specifically, where tariff-driven supply chain shifts, new supplier onboarding, and changing regulatory priorities introduced unfamiliar workflows and risk exposure faster than national statistics can register.
A significant share of workplace injuries occur within an employee’s first year on the job. Elevated turnover, skilled trade retirements, and difficulty recruiting experienced workers mean organizations are onboarding more new or reassigned employees than usual, and training alone cannot replace the situational awareness experienced workers build over time. Contractor and temporary labor mixes compound this, since qualification processes often focus on documentation rather than real-world performance.
Underreporting is typically a friction problem rather than a willingness problem. When employees have to stop work, log into a separate system, or manually relay a hazard, participation drops and organizations lose visibility into everyday risk. Reporting rates improve when the process is fast, intuitive, and built into the tools employees already use for their work.
Most EHS organizations are using generative and agentic AI primarily for administrative support — drafting documentation, summarizing incident reports, preparing for audits. Those uses improve efficiency but do not by themselves reduce hazard exposure. Injury prevention requires AI to be connected to operational data like maintenance activity and workforce scheduling, so risks can be identified before work begins rather than documented after the fact.
Benchmark Gensuite’s 2026 EHS Benchmarking Report identifies increased operational demand and workforce issues as the top contributors, followed by time shortages and insufficient training. These factors compound: compressed production schedules leave less room for training and inspection, while turnover and contractor variability increase the number of workers operating without full situational awareness.
Rather than treating this purely as a headcount problem, organizations should audit where near misses and hazards are going unreported, integrate reporting directly into existing field workflows rather than separate systems, structure onboarding and mentorship around the higher-risk first year of employment, and connect existing AI tools to operational and scheduling data so they contribute to prevention rather than just documentation.

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