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Near misses tell us what almost happened. pSIFs tell us what will.
In safety management, leaders long relied on near miss reporting, what almost happened to learn, reflect, and prevent future harm. But near misses are lagging indicators by nature. They require something to go wrong first. It’s time for a shift.
Imagine this:
At a manufacturing site, a worker trips over an unsecured hose. Luckily, no injury occurs. If we are lucky again, that was observed and logged as a near miss. It’s reviewed a week later.
Now imagine the same scenario, but the hazard is flagged in real time, 24/7, before anyone is even near it because it’s been identified as a potential Serious Injury or Fatality (pSIF) risk. That’s not just prevention. That’s transformation.
pSIF scores are the new frontier in safety—rooted in predictive modeling and hazard severity, not just frequency. They shift the focus from what might have been to what must not happen. At intenseye, we’ve built the first Real-Time Safety Management and SIF Prevention platform that detects hazards, predicts risk, and helps safety teams act before incidents unfold.
Most AI safety solutions today aren’t real-time and their claims to “stop incidents” fall flat. Incidents happen in seconds. Expecting to prevent them with delayed data is like expecting an airbag to deploy a week after a crash.
Predictive and proactive alone is an overpromise—safety must be real-time.
➡️ From retroactive reports…
✅ To real-time interventions.
➡️ From near miss logging…
✅ To pSIF-driven automated prioritization.
The future of workplace safety isn’t reactive. It’s predictive, prioritized, and powered by AI.
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