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ON DEMAND WEBINAR | HOW AI HELPS YOU STAY ON TOP OF COMPLIANCE

Three AI Use Cases for EHS Compliance

For many EHS teams, checking contractor documents, confirming visitor IDs and pulling records for auditors take up hours each week.

In this on-demand webinar, Luisa Gomez, Senior Product Manager at FacilityOS, walks through three use cases where AI takes on that work and explains the guardrails that keep decisions with people.

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Where Does Compliance Time Go for EHS Teams

Compliance work tends to concentrate at three points: before a contractor arrives on site, when a visitor signs in, and when an auditor or manager needs an answer from the records. Contractor paperwork alone takes seven or more hours a week for 44% of respondents in a recent survey.

Audit requests add a different kind of load. Records may already exist in a system, but someone still has to find them, check them and pull them together before they're ready to hand over.

 

44%

spend 7+ hours a week managing contractor compliance.

Source:  FacilityOS Survey on Contractor Compliance

55%

of EHS professionals are held accountable for visitor-related safety or compliance issues at least monthly

Source:  EHSLeaders & FacilityOS Report 2026

40% +

spend multiple days or longer preparing for audits.

Source:  FacilityOS Survey on Contractor Compliance

Presented By:

Luisa Gomez-headshot

Luisa Gomez

Senior AI Product Manager | FacilityOS

Luisa facilitates the integration of artificial intelligence capabilities for enterprise organizations to deliver immediate, practical value. With experience across health care, finance and facility software, she guides teams through the real-world operational challenges of shipping AI solutions.

Before joining FacilityOS, Luisa architected the data strategy for a senior living EHR, pioneered a specialized health care AI agent and built secure global financial digital payment solutions. With product faculty AI strategy certifications and an elite industry mentorship, she specializes in translating complex probabilistic systems into high-value business decisions.

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