Enterprise AI is delivering measurable returns in environmental health and safety programs, with 34% of organizations now reporting concrete ROI from their AI investments. A new benchmark report reveals that EHS (environmental health and safety) professionals are shifting from viewing AI as a speculative technology to embracing it as a practical tool for reducing workload, improving data quality, and preventing risks before they happen.

What's Driving the Shift From EHS Experimentation to Real Results?

The 2026 EHS 360 Benchmark Report, based on insights from 1,008 professionals surveyed in March 2026, shows that AI and automation are now viewed as the most transformative forces shaping the future of EHS programs. Organizations increasingly see AI as a tool for reducing administrative burden, improving data quality, accelerating compliance activities, and strengthening proactive risk prevention. The findings suggest AI is moving beyond experimentation and beginning to deliver measurable value across EHS programs.

What makes this moment significant is that EHS itself is gaining strategic influence at the executive level. According to the report, 82% of EHS professionals believe the function is gaining influence at the executive level, and 75% believe executive leadership attitudes have become more strategic toward EHS. Additionally, 67% indicate EHS has been integrated into broader enterprise risk and strategic business discussions.

"EHS is entering one of the most important transitions the industry has ever experienced. Today's EHS leaders are navigating regulatory complexity, increasing operational risk, resource challenges, and mounting expectations from leadership teams. What this report makes clear is how forward-thinking organizations are modernizing their EHS programs with connected platforms, real-time visibility, and human-centered AI designed specifically for EHS," said Matt Airhart, CEO of VelocityEHS.

Matt Airhart, CEO at VelocityEHS

How Are Leading Organizations Implementing AI in EHS Programs?

• Administrative Burden Reduction: 76% of EHS professionals believe AI can meaningfully reduce administrative burden within EHS workflows, freeing teams to focus on strategic risk prevention rather than paperwork.
• Data-Driven Decision Making: 70% trust AI-generated insights to inform EHS decisions, indicating growing confidence in AI's ability to surface actionable patterns from safety and environmental data.
• Predictive Risk Prevention: Organizations investing in integrated EHS technologies, strong data foundations, and AI-enabled workflows are better positioned to improve visibility, identify risks proactively, strengthen operational resilience, and move from reactive response toward predictive prevention.

The report also reveals that 53% of organizations state the top priority and focus of their EHS program is developing a company-wide safety program, suggesting that AI is being deployed not as a standalone tool but as part of broader organizational safety culture initiatives.

Why Are Some Companies Still Hesitant to Deploy Next-Generation AI?

While EHS AI adoption is accelerating, enterprise AI deployment more broadly faces persistent barriers. According to Salesforce research, the primary reasons companies delay implementing next-generation AI platforms include uncertainty about return on investment, an inability to determine which project or tool is most viable, complex mismatches between legacy systems and new technology that make integration difficult, and workforce reluctance to adopt new systems.

For organizations that do move forward, the architecture matters significantly. A practical deployment framework for embedding next-generation AI requires a three-tier architectural approach built on a unified metadata platform, consisting of a data and integration layer, an execution and governance layer, and a predictive modeling layer.

The consequences of delay are real. Refusing or delaying the deployment of next-generation enterprise AI will quickly result in a widening gap between a business and its competitors in terms of productivity and efficiency. Customers won't remain loyal to a business if they can get what they need elsewhere much quicker, and that will increase customer churn rates and negative customer sentiment.

What distinguishes organizations seeing measurable ROI from those still experimenting is their willingness to invest in connected platforms and strong data foundations. The EHS benchmark report emphasizes that organizations investing in integrated EHS technologies are better positioned to improve visibility, identify risks proactively, strengthen operational resilience, and move from reactive response toward predictive prevention.

For EHS leaders and enterprise decision-makers, the message is clear: AI adoption in safety and compliance is no longer optional, and the organizations that move beyond pilot projects to full deployment are already capturing measurable returns. The question is no longer whether to invest in AI for EHS, but how quickly to scale proven implementations across the organization.