See how 1,000 safety professionals are putting AI to work in EHS
Five findings from ASSP’s 2026 research, paired with what Ideagen’s agentic AI, Mazlan, does about each one.
AI is already changing how safety teams work, but progress is uneven. This snapshot draws on ASSP’s 2026 Trust, Ethics and Governance research, which surveyed nearly 1,000 safety professionals, it shows where teams are seeing results, where data quality holds them back and where people need to stay in charge. Next to each finding, you’ll see how Mazlan helps.
What you'll get:
- Where the quick wins are and where AI isn’t ready yet
- Why data quality comes first
- Where people stay in charge of safety decisions
- A one-page view you can share with your team
Data quality is a barrier for most organizations
Only 33% of discovery-stage organizations rate their data good or excellent, rising to 70% at integration. Mazlan turns reporting into a conversation, asking follow-up questions and populating structured data, with a 40% improvement in data quality.
Incident analysis is among the most effective applications
70% of users rate incident analysis and pattern recognition as effective. Mazlan searches training, maintenance and inspection records to surface patterns, and your team makes the final root cause call.
Staying current on regulations is hard to achieve
It is a goal for 51% of exploratory organizations, yet only 38% of scaling organizations report achieving it, rising to 57% at integration. Mazlan monitors regulatory changes, maps requirements to your operations and flags compliance gaps before audits.
Cutting repetitive work is the top AI goal
It is a goal for 75% of exploratory organizations, and 78% to 79% of scaling and integrated ones report achieving it. Mazlan answers routine safety questions, drafts documents and searches your approved procedures, so your team spends less time on admin.
58% of organizations are still exploring AI in EHS.
Find out where you stand.