The Frontline Paradox: Designing AI That Helps Workers, Not Just Executives
An on-demand fireside chat with EHS Insight and Verdantix
Everyone wants AI in their EHS program, but AI is only as good as the data underneath it. That data starts with frontline workers filling out forms at the end of a long shift. In this fireside chat, Eric Stevens, CTO and co-founder of EHS Insight, and Nathan Goldstein, Senior Manager of EHS&Q research at Verdantix, discuss how to build AI that serves the people capturing the data as well as the leaders using it. Their conversation draws on the 2026 Verdantix global corporate EHS survey of 302 senior decision-makers across 25 countries and 24 industries.
In this conversation, you’ll learn:
- Why data quality is both the foundation of EHS AI and its most-adopted use case
- How AI coaching at the point of data capture helps workers finish faster and gives management better data
- What MCP connectors are, and how they securely bring EHS data into Claude, ChatGPT and Microsoft Copilot
- How permission-based access ensures AI sees only what each user is already allowed to see
- How to move from shadow AI to governed, approved AI
- How to design AI people can trust, even when it isn’t deterministic
Featuring
- Eric Stevens, CTO and Co-Founder, EHS Insight
- Nathan Goldstein, Senior Manager, EHS&Q Research, Verdantix
