Oracle has announced the general availability of Advisor for Safety, an AI-powered predictive intelligence solution designed to transform safety management across the construction and engineering industry. With this new capability, construction firms can forecast potential safety incidents in advance, allowing them to take preventive measures and build safer, more efficient, and cost-effective job sites.
As the construction sector continues to adopt digital transformation, organizations increasingly look for tools that move beyond traditional reactive safety practices. Therefore, Oracle developed Advisor for Safety to help firms transition toward proactive safety management. The solution uses advanced artificial intelligence and machine learning to analyze project data and predict possible safety risks before incidents occur.
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Previously, companies that wanted to build predictive safety models needed to provide extensive datasets for training and model tuning. However, Advisor for Safety simplifies this process significantly. Oracle has built and pre-trained an industry-specific safety model using data equivalent to more than 10,000 project-years across a wide variety of project types and geographic locations. As a result, organizations can quickly benefit from predictive safety insights regardless of the maturity level of their current safety programs.
In addition, Oracle introduced a new Observation capability within Aconex and Primavera Unifier Accelerator. This feature works seamlessly with Advisor for Safety and enables field teams from project engineers to senior executives to capture structured safety observations more efficiently. Using either a mobile device or a web browser, teams can record key details such as severity levels and frequency scores in a consistent and standardized format.
By standardizing safety data collection and improving safety workflows, the Observation capability enhances the accuracy of predictive models. Moreover, it encourages teams to adopt safer behaviors and identify risks earlier in the project lifecycle.
“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 the industry’s overall efficiency and cost-effectiveness,” said Mark Webster, senior vice president and general manager, Oracle Infrastructure Industries. “Leveraging AI and machine learning, organizations can immediately transition from reactive to predictive safety management, improving safety outcomes and reducing both human and financial costs associated with workplace injuries.”
Traditionally, safety tools in construction rely on lagging indicators and reactive responses, which often address incidents only after they occur. In contrast, Advisor for Safety introduces a proactive framework with several key capabilities.
First, the platform provides weekly risk forecasts, helping organizations identify the top 20% of projects that may account for nearly 80% of potential safety incidents. Consequently, project leaders can allocate resources more effectively and reduce both incident rates and workers’ compensation costs.
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Second, the solution offers actionable risk mitigation insights by recommending prioritized corrective actions for high-risk projects. For instance, it may suggest increasing supervision, focusing on high-risk work zones, or implementing additional safety checks.
Third, Advisor for Safety promotes observation-based safety reporting, which encourages teams to capture incidents and safety concerns proactively while maintaining high-quality data for reliable predictions. Finally, cross-project analytics aggregate safety data across multiple projects, enabling executives to gain deeper insights, support strategic decision-making, and share best practices across teams.
The solution integrates multiple data streams, including safety observations, incident reports, payroll information, and project schedules. These inputs come from Oracle platforms such as Aconex, Primavera Unifier Accelerator, and Oracle Fusion Cloud ERP, as well as third-party systems. Over time, organizations can further refine predictions by incorporating their own proprietary data to address specific safety challenges or focus on priority risk areas.
“By predicting safety incidents and providing actionable insights, our customers can now focus on prevention rather than reaction,” said Josh Kanner, Sr. Director, Analytics & AI, Oracle Construction and Engineering. “Advisor for Safety has demonstrated customer reductions in incident rates by up to 50% or more and workers’ compensation costs by up to 75% in the first year.”
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