AI Supported HAZOP and LOPA: How to Make Risk Reviews Faster, Clearer and More Consistent
Traditional HAZOP and LOPA reviews can take days or even weeks, while operations change every day. In this recorded webinar, BM Process Management and Gordium show how AI and knowledge graph
technology can support experts in making risk reviews faster, more consistent and easier to revalidate, without replacing human judgement.
Webinar Overview
HAZOP methodology has not changed much in sixty years, but our operations and access to data have evolved significantly. Many companies still perform safety reviews infrequently, with long workshop days and static reports that are difficult to revisit when processes change or incidents occur.
In this webinar, Amol from BM Process introduces the need for more dynamic, data driven process safety, together with Bart and Geoffrey. They demonstrate how Gordium supports HAZOP and LOPA studies with AI and knowledge graphs while keeping the expert team fully in control.
Who this webinar is for
- Process safety engineers and HAZOP facilitators
- Process, chemical and operations engineers
- Terminal and plant managers
- Risk management and compliance professionals
- Anyone responsible for process safety improvement
Key Themes Covered
- The shift toward dynamic, AI supported process safety and why traditional tools alone are no longer enough
- Live demonstration of the Gordium platform
- How AI and knowledge graphs support scenario generation and safeguard identification
- How the expert team stays in charge and validates all decisions
- Current features, future roadmap and planned AI copilot tools
- How existing HAZOP studies can be imported, cleaned up and enhanced
- Cost and business impact of improved workshop efficiency and reduced revalidation time
Key Takeaways
- The real challenge is the growing gap between fast operations and slow risk reviews
- Gordium supports scenario consistency and clarity without automating expert judgement
- Clear visuals help bridge communication gaps across multi-disciplinary teams
- Study time can often be reduced by around 50 percent through improved structure and reduced manual work
- Evergreen HAZOP records simplify audits, revalidations and follow up action tracking
- AI supports the experts. It does not replace them
Meet Our Expert Speakers
Bio:
Bart is a process engineer by trade with 20 years of experience in the process industry. He worked as a process engineer, project manager, and consultant for large engineering companies, equipment manufacturers as well as end users in the field of chemicals, metal processing, oil & gas as well as the food industry.
Emission control has been a common theme in his work from the start. From vapour recovery systems to carbon adsorption, wet gas scrubbers and thermal systems, he has designed and extensively worked with all of them. Bart has extensive knowledge of the engineering side of the systems as well as the legislative framework and also knows the challenges faced when operating all of these systems by first-hand experience.
Bio:
With over 25 years of experience in process safety and industrial consulting, Geoffrey leads Gordium’s mission to revolutionize risk management through artificial intelligence. His career spans engineering, chemical production, and international consultancy leadership—bringing a powerful perspective on how digital innovation reshapes safety and efficiency.
About Gordium® : Gordium® redefines process hazard analysis through AI-driven insights. Designed for today’s evolving industrial landscape, its dynamic risk management software transforms static HAZOP, PHA, and LoPA studies into continuous, collaborative processes. By combining structured data models, industry knowledge graphs, and intelligent automation, Gordium® helps teams make faster, clearer, and more consistent safety decisions—anytime, anywhere.
