AI Predicted This Incident
3 Weeks Before It Happened.
Reactive Safety Is Failing
You investigate incidents. You should predict them.
Safety programs react to injuries, not prevent them
Your safety program responds to incidents after they happen. Root cause analysis, corrective actions, stand-downs — all reactive. The injury has already occurred.
Leading indicators are not being tracked
TRIR, DART, and EMR are lagging indicators — they measure what already happened. Leading indicators like near-miss velocity, observation rates, and fatigue factors predict what will happen.
Pattern recognition requires data nobody has
Predicting incidents requires correlating safety data with schedule pressure, overtime, weather, crew changes, and dozens of other factors. Manual analysis of this data is impossible.
Seasonal and cyclical risks are untracked
Heat-related incidents spike in August. Fall incidents increase during facade work in wind season. These patterns exist in your data but nobody is analyzing them.
How POD Works
Speak Your Report
60-second voice input captures crew counts, activities, safety observations, and weather.
AI Structures Data
POD automatically maps your voice input to hundreds of KPIs and populates all required forms.
Dashboard Updates
Real-time metrics, trend detection, and AI-powered insights appear instantly.
The POD Advantage
AI safety prediction from daily report data
AI Safety Analysis Agent
Dedicated AI agent continuously monitors safety-related data: near-miss rates, observation trends, overtime hours, weather forecasts, and schedule pressure. Flags emerging risk patterns.
Predictive Risk Scoring
Each project receives a daily predictive risk score combining 12+ factors. Rising scores trigger automatic alerts 21 days before the risk materializes into an incident.
Leading Indicator Dashboard
Real-time visualization of leading safety indicators: observation rates, near-miss velocity, crew fatigue index, schedule-risk correlation. The data that predicts incidents.
Intervention Recommendations
When risk scores rise, POD recommends specific interventions: "Add safety observer to Level 3 concrete pour. Reduce overtime for Crew B. Schedule stand-down after weather event."
Predictive Safety Features
AI Prediction
AI safety monitoring AI predicts incidents 21 days before they occur.
Risk Scoring
Daily predictive risk scores from 12+ correlated safety factors.
Interventions
AI-recommended actions to prevent predicted incidents.
“POD AI safety monitoring flagged a "high risk convergence" on one of our projects — overtime increasing, safety observations declining, and a critical concrete pour scheduled during a heat advisory. We added safety staff. Nothing happened. That was the point.”
— Chief Safety Officer, National GC
Every KPI From a 5-Minute Voice Report
POD tracks hundreds of KPIs from a 5-minute voice report. Here are just 2 of them.
Schedule & Budget Performance
Momentum Score
PODThese update in real time from a 5-minute voice report. No spreadsheets. No data entry.
Frequently Asked Questions
What If You Could Prevent the Next Incident Before It Happens?
Your data already contains the prediction. POD AI reads it for you.