Key Takeaways

• Market Reality Check: Understand why the enterprise software market is flooded with generic AI messaging and how to identify vendors with genuine technical depth versus "LLM wrapper solutions." Learn the warning signs of over-promise and the proof points to look for.
  
  
• Data-Driven Adoption Insights: Discover findings from Vedantix's survey of 304 senior EHS executives showing 61% of organizations plan to increase AI adoption in 2026, with streamlining frontline data collection and generating performance insights as top priorities.
  
  
• Vendor Evaluation Framework: Master the 5-pillar assessment framework covering strategy & people, governance & trust, adoption & impact, product maturity, and technical foundations - essential for selecting AI-enabled EHS software partners for the next decade.
  
  
• Frontline AI in Action: See live demonstrations of image analysis that converts photos into detailed incident reports, voice-driven hazard reporting, and AI workflow generation that transforms OSHA citations into mobile-ready procedures using Mobilize AI.
  
  
• Interactive Analytics Revolution: Experience how natural language queries replace traditional reporting, allowing EHS professionals to ask questions directly and receive insights without needing data science expertise or pre-built reports.
  
  
• Agentic AI Applications: Witness autonomous AI agents processing environmental permits from PDFs into structured compliance calendars and automatically updating chemical safety data sheets by searching manufacturer websites for the latest versions.
  
  
• Buyer Criteria Evolution: Learn how EHS software selection priorities are reshuffling for the first time in years, with AI capabilities moving into the top three buyer criteria alongside desktop/mobile UI and platform architecture.

Donavan Hornsby, Chief Market Strategy Officer at Benchmark Gensuite, brings over 20 years of experience in EHS, sustainability, and digital transformation. He leads strategic initiatives that advance the platform’s global adoption and innovation. Most recently, he drove the integration of AI technologies, including Genny AI, AI Helpers, and Anvl, to elevate safety and operational performance for frontline teams and enterprise leaders alike.

Chris is a Senior Manager, AI Applied at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends, and agentic AI. Chris joined Verdantix in 2020, where he focused on EHS software, and has previous experience at EY, where he specialized in robotic process automation. He holds an MEng in Engineering Science from the University of Oxford, with a focus on machine learning and machine vision.