Helpful resources
Access resources that help you better understand how Insight Risk Systems supports proactive safety, risk mitigation, and operational excellence. Below, you’ll find materials offering actionable insights and practical value.
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Insight Risk Systems Value proposition
Few organizations use predictive tools for risk management, despite its impact on productivity, quality, and company value. Machine learning analyzes existing data to uncover blind spots and leading indicators—helping prevent costly incidents and improve operational consistency.
Risk management is good business
Workplace injuries are costly in both human and economic terms—$29.4 billion annually in Canada, with nearly 1,000 fatalities in 2022. Effective risk management prevents harm, boosts productivity, and drives better performance, yet few organizations have mature systems in place.
Using Bowties to prevent SIFs
In high-risk industries, serious incidents often stem from high-energy hazards—known as “Stuff That Kills You” (STKY). Bowtie diagrams help visualize these risks and the controls needed to prevent or recover from them. Resilient systems depend on layered safeguards, not luck, to keep workers safe.
What is a Leading indicator?
Leading indicators—like unsafe acts or system weaknesses—signal potential incidents before they happen. Unlike lagging indicators, they help predict and prevent harm. Though essential for stronger risk management, they’re often underused, along with the technology that supports them.
What is Machine Learning?
Machine learning analyzes data to detect hidden patterns and early warnings of risk. By learning from incidents, inspections, and maintenance logs, it helps prioritize hazards and guide resources. This matters because it enables faster, more proactive safety decisions—reducing the chance of serious incidents.
What is Artificial Intelligence?
Artificial Intelligence (AI) improves safety by turning data into predictive insights. With tools like computer vision and robotics, it detects hazards in real time and automates responses—shifting safety from reactive to proactive and making operations more resilient and efficient.
What is data fusion?
Data fusion blends sources like inspections, surveys, and sensor data to reveal safety insights individual sources miss. By combining qualitative and quantitative data, it helps identify hidden risks and supports faster, smarter decisions across operations.
