Artificial intelligence has the capability to better track—and prevent—workplace injuries and fatalities. To do so, you must take a holistic look at the data, find easy wins, gain buy-in and keep improving.
By Jim Wetekamp, CEO of Riskonnect | Published by EHS Today | August 13, 2026
Workplace safety began as a reactive discipline. An incident occurs; teams investigate, assign corrective actions, and update their processes. The cycle repeats, and too often, so do the incidents.
The case for proactive workplace safety is both a human and a financial one. The Bureau of Labor Statistics recently reported 2.5 million nonfatal workplace injuries and illnesses in a single year. According to Liberty Mutual, workplace accidents cost U.S. employers nearly $59 billion annually. Most organizations already have the data they need to stay ahead of safety risks. The problem is it’s scattered across systems, teams, and locations, which makes it difficult to connect the dots in time to prevent the next incident.
AI is changing that. By continuously analyzing data across systems, formats, and locations, AI can make sense of the data, surface risk patterns that would be invisible to humans, predict potential incidents, and guide teams to the right remediation actions. It delivers these insights and recommendations in everyday workflows, so teams can intervene before an incident actually occurs. Safety teams that have spent years managing risk after the fact now have a way to get ahead of it.
Read the full article in EHS Today for more on the warning signs, how AI helps teams stay ahead, and how to get started.
