As a safety leader, you’ve invested in a great EHS. For large enterprises, this can be a 6 or 7 figure investment.
“But”, your CFO asks “Are we getting full value?”
The EHS Paradox
Great Systems, Flawed Data EHS systems have 2 fundamental challenges –
1) They are after-the-fact
2) 90% of near-misses go unreported
For 1 serious injury, there are 300 near misses. Heinrich’s Safety Pyramid visually argues that the best way to prevent the rare, severe accidents is to rigorously investigate and manage the frequent, low-severity incidents. The 90% not being reported.
Computer Vision + AI: Closing the gap
With AI, you are no longer guessing. AI uses existing cameras to capture every incident, no matter how small.
Reactive -> Real-Time: AI automatically detects and logs every safety violation, directly into your EHS. A person walking under a suspended load, a forklift cutting a corner too fast or an employee not wearing a hard-hat in a mandatory zone. Eliminate >90% of manual logging requirements.
Drive Real Behavioral Change: Imagine your next toolbox talk. Instead of a generic training video, you show a (anonymized) clip from your facility, from last Tue, showing the exact near-miss you’re trying to prevent.
For the CFO – this automated data capture creates a powerful ROI flywheel.
- 100% of incidents + near misses captured.
- Targeted interventions -> better training, new guardrails, safer workflows.
- Proactive interventions = reduction in incidents = improved E-MOD score.
- Lower E-MOD = lower workers comp premiums. You have the hard data you need to save $$$.
Stop Recording Safety. Start Engineering it.
