Oracle has introduced Oracle Construction and Engineering Advisor for Safety, an AI-enabled predictive intelligence solution designed to help construction firms forecast safety incidents and prevent accidents before they occur.

The platform aims to shift construction safety management from reactive reporting to predictive risk prevention. By analyzing project and operational data, organizations can identify high-risk projects earlier, allocate safety resources more effectively, and improve jobsite safety.

AI Model Built on Industry Safety Data

Advisor for Safety is built on an industry-specific AI model trained on data representing more than 10,000 project-years across multiple project types and locations. Because the model is pre-trained, construction companies can adopt predictive safety capabilities without first building complex models from their own data.

“Advisor for Safety marks a significant step forward in safety management, giving construction companies and owners the tools to predict and prevent incidents while improving efficiency and cost-effectiveness,” said Mark Webster, Senior Vice President and General Manager of Oracle Infrastructure Industries.

New Observation Capability in Aconex and Primavera

Oracle also introduced a new Observation capability within Oracle Aconex and Oracle Primavera Unifier Accelerator. The feature allows field teams to capture structured safety observations through mobile devices or web browsers.

These observations include standardized severity and frequency scoring, helping organizations collect consistent safety data and improve the accuracy of predictive models over time.

Forecasting Safety Risks Across Projects

Advisor for Safety provides weekly risk forecasts that highlight projects with the highest likelihood of safety incidents. Oracle says the system can identify the 20% of projects most likely to account for up to 80% of incidents, enabling firms to prioritize safety resources where risk is greatest.

The platform also provides actionable risk mitigation recommendations, such as increasing supervision or focusing on high-risk areas.

The solution integrates multiple data sources, including:

Oracle Aconex
Oracle Primavera Unifier Accelerator
Oracle Fusion Cloud ERP
third-party systems

Early Results Show Significant Improvements

According to Oracle, early users have reported measurable safety improvements.

“By predicting safety incidents and providing actionable insights, our customers can now focus on prevention rather than reaction,” said Josh Kanner, senior director of Analytics & AI at Oracle Construction and Engineering.

Oracle says organizations using the platform have seen incident rates reduced by up to 50% and workers’ compensation costs reduced by up to 75% in the first year.

Why Predictive Safety Matters

Construction projects generate large volumes of operational data, including schedules, workforce information, incident reports, and field observations. AI-powered safety tools aim to turn that data into predictive insights, helping organizations move from compliance-based reporting toward continuous safety monitoring and prevention.

Oracle will showcase the new solution at the Oracle Customer Edge Summit, April 12–14, 2026 in Austin, Texas.

ERP News Editorial Team

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