The AES Corporation (NYSE:AES) announced it has deployed Haven Safety AI across its U.S. utilities and renewable energy sites, marking one of the first large-scale uses of an artificial intelligence-based safety investigation system within the energy industry.
The Arlington, Virginia-based company said the platform has cut the time required to investigate safety incidents by more than 50%, while also improving the ability to identify root causes and detect systemic risks across multiple facilities.
“Instead of spending time compiling reports behind a desk, our teams can now focus on understanding risk on site,” said Chantz Horman, Director of US Operations and Construction Health & Safety at AES. “We have seen a 50% reduction in root cause analysis safety investigation labor time with the adoption of Haven Safety AI.”
Haven Safety AI was developed with strategic support from AI Fund and AES. According to the company, the project progressed from initial co-founding to full commercial deployment in under nine months.
Joseph Hanna, Co-Founder and CEO of Haven, said AES is showing how AI can be integrated directly into safety investigation workflows, enabling teams to respond more quickly and identify systemic risks sooner.
The platform combines artificial intelligence with a structured industry knowledge graph to analyze incident data and detect patterns that previously required weeks of manual review. AES said the system has improved the speed of investigations, the accuracy of root cause analysis and the ability to prevent future incidents.
Haven Safety Corporation said it is now working with enterprise customers across sectors including energy, construction, manufacturing and logistics to deploy similar safety solutions.
The rollout reflects AES’s transition from traditional manual safety reporting to what the company described as a proactive, AI-driven approach aimed at improving worker protection across its U.S. operations.