Key Highlights
- For many safety professionals, technology has been regarded as a nice-to-have, not a must-have. That’s changing in 2026. Those who are harnessing technology’s breadth of possibilities today are poised to become leaders of tomorrow.
- There are so many things safety professionals don’t have complete control over, but leveraging artificial intelligence and technology? That’s firmly in your grasp. The more difficult question becomes how to leverage all the tools in your toolbox to reduce injuries and boost buy-in.
EHS leaders are entering 2026 managing environments where the pace of work has outgrown the systems designed to support it. And the results from a 2025 Benchmark Gensuite survey show it: Injury frequency and severity have remained flat or worsened for more than half of EHS leaders in the past year, a clear sign that traditional tools aren’t keeping up with operational reality. Organizations have begun modernizing, but the gap between intent and impact is still widening.
Many EHS teams still rely on spreadsheets, PDFs, email chains and legacy systems, but these tools weren’t built for today’s pace of work. The limitations are evident in reporting gaps.
According to our study, 79% believe incidents, hazards and near-misses are underreported—meaning leaders are often working without a complete or timely picture of risk. When 70–80% of work happens away from a desk, reporting naturally lags. If hazards aren’t captured in the moment, leaders miss the window to intervene.
Workforce dynamics can add a further layer of strain. New workers often need clearer guidance and more structured workflows, yet inconsistent or outdated reporting systems make that difficult to deliver.
The challenge isn’t commitment, but capability. Too many core processes still depend on systems designed for office-based reporting rather than how work actually happens today. At the same time, the volume of safety and operational data is growing, while most teams still rely heavily on manual review. AI is beginning to accelerate analysis and surface emerging risks faster, but adoption can be uneven and often limited to early pilots.
These realities set the stage for 2026, which is certain to be a pivotal year for safety technology adoption. Organizations that rely on slow or fragmented processes will see those limitations surface quickly. The four shifts below will define how leaders can improve visibility, consistency and risk prevention to make workplaces safer.
EHS leaders are managing far more data than their systems were originally designed to handle.
1. Digital Transformation Delays Become Operational Consequences
EHS leaders are managing far more data than their systems were originally designed to handle. Incidents, observations, equipment readings and environmental metrics now flow continuously; however, many organizations still lack the digital backbone to turn that information into timely action.
This gap between data volume and decision-making speed is becoming a real operational risk. When teams can’t quickly interpret patterns or triage issues, small anomalies go unnoticed until they escalate into incidents or widespread trends. As operations become more complex, delays in capturing and using information compound across sites and shifts.
The solution in 2026 is a true digital foundation: integrated systems that streamline information capture and analysis so leaders can act in real time. Digitizing operational processes strengthens visibility and consistency across sites, allowing teams to complete investigations faster, follow up more reliably and spot emerging risks sooner.
2. Frontline-ready and mobile EHS Tools Become Mandatory
If workers can’t document a hazard or observation in the moment, leaders miss the early signals that help prevent bigger issues.
Businesses that embrace digital and mobile tools for their frontline teams can improve their operational efficiency by up to 25% because information flows immediately with fewer handoffs and delays. For EHS teams, that means clearer visibility into risk; faster response times; and more consistent reporting across shifts, contractors, and locations.
In 2026, mobility will become the baseline expectation. Tools must integrate into the flow of work, function in offline environments, and make hazard capture as simple as taking a photo or using voice-to-text. When reporting becomes effortless, participation increases—and leaders finally get the real-time awareness required to act before incidents escalate.
3. AI Elevates EHS From Reactive Reporting to Enterprise Decision Support
EHS teams generate more information than they can interpret quickly, making it difficult—if not impossible—to detect issues proactively. AI changes that dynamic by scanning large volumes of data for patterns and outliers so leaders can focus on the right interventions before incidents become frequent occurrences.
In 2026, this shift becomes essential. Executive teams expect sharper forecasting. Operations expect faster root-cause analyses. Regulators expect consistent documentation and traceability.
AI provides the analytical horsepower to meet those expectations and gives leaders a level of visibility that manual review simply can’t match. Organizations that adopt AI for decision support will move from reacting to issues to anticipating them—a fundamental shift in how risk is managed.
Organizations that adopt AI for decision support will move from reacting to issues to anticipating them—a fundamental shift in how risk is managed.
4. AI Agents Will Adopt Multi-step EHS Workflows
EHS responsibilities involve routine coordination, such as assigning actions, tracking deadlines, updating documentation and ensuring issues don’t fall through the cracks. These steps are essential, but they’re also procedural, and they consume time that leaders increasingly need for higher-value work.
In 2026, up to 40% of enterprise applications will include task-specific AI agents, up from less than 5% in August 2025. That momentum reflects a simple truth: many operational workflows are now structured enough for AI to manage reliably.
AI agents represent a meaningful evolution. They’ll help drive the process forward: initiating tasks, escalating delays, and maintaining consistent follow-through across teams and sites. This creates a level of reliability that is difficult to replicate manually, especially in organizations with distributed workforces or high turnover.
When automated systems handle repeatable steps, safety professionals gain more capacity for investigation quality, coaching and preventive planning. The organizations that adopt AI agents thoughtfully will see tighter execution, faster cycle times and a more dependable end-to-end safety workflow.
The Path Forward for EHS Leaders
EHS leaders who embrace these capabilities early will operate with clearer insight and greater consistency. They’ll spot issues sooner, respond faster and build safety programs that adapt to the realities of modern work. Those who wait will find themselves working harder just to maintain the status quo.
The goal isn’t to adopt technology for its own sake. It’s to ensure EHS teams have the insights and capacity to prevent harm as conditions change. In 2026, the most successful teams will be the ones that recognize modernization is not a technology initiative, but a core driver that leads to safer, more reliable operations.
About the Author
R. Mukund
Founder, CEO Benchmark Gensuite
R. Mukund is CEO and founder of Benchmark Gensuite, a digital platform for EHS and sustainability management solutions. He is an organizational leader with nearly 30 years of experience in progressive roles as a technical professional, team leader, Six Sigma Master Black Belt, executive program manager, and most recently, chief executive officer since 2010.
