How the AI for EHS Maturity Scale Works
Evaluate your organization’s current maturity across five core dimensions of AI adoption in EHS using the sliders below. As you adjust each category, your overall AI maturity score updates in real time—showing how individual capabilities contribute to your organization’s overall readiness.
The results and provided next steps highlight strengths, surface gaps, and help prioritize where AI can deliver the greatest impact across EHS operations.
Vision & Workforce
The organization has a clear vision for how AI strengthens EHS performance and communicates this consistently across teams. EHS staff are equipped with the skills and guidance needed to use AI responsibly through training, human-in-the-loop practices, and a culture that supports digital adoption.
Build AI awareness, identify skill gaps and encourage experimentation
Solutions & Offerings
AI capabilities are deployed across key EHS workflows—such as incident reporting, regulatory analysis, data quality improvement, and risk detection—through reliable, integrated tools. These solutions enhance efficiency and insights by applying fit-for-purpose AI models directly within EHS processes.
Assess data readiness, explore AI integration in products
Accountability & Oversight
Strong governance ensures AI used in EHS remains transparent, explainable, and compliant with safety, regulatory, and data-privacy requirements. The organization maintains auditability, human review for sensitive decisions, and clear policies for managing AI risks and performance.
Understand regulatory landscape, initial risk assessment
Organizational Processes
AI is embedded into routine EHS tasks—including incident management, CAPA actions, inspections, and compliance monitoring—to reduce manual work and improve accuracy. Processes are adapted to integrate AI outputs consistently, supported by cross-functional coordination and feedback loops.
Provide guidelines on AI best practices, enable small-scale experimentation with working groups
Integration & Results
AI tools connect seamlessly with EHS data sources and systems to deliver measurable improvements in safety outcomes, compliance efficiency, and reporting quality. The organization tracks adoption, performance, and ROI to ensure AI meaningfully supports risk reduction and operational decision-making.
Identify potential value, begin documenting knowledge