In today’s energy sector, where precision, uptime, and safety are essential, the real risk is no longer technology failure. It is inaction. As infrastructure becomes more complex and volatile, the question is not whether to adopt AI, but how quickly you can do it safely and effectively.

This webinar explores how AI-driven risk analysis is reshaping the way energy leaders make decisions. We will discuss how autonomous platforms help organizations shift from reactive firefighting to predictive, data-informed control. By reframing risk as a driver of innovation rather than a barrier, we will show why doing nothing is now the most dangerous option.

Technology often sits at the top of your risk hierarchy. When managed well, it becomes your strongest tool for smarter planning, improved accountability, and operational resilience.

What You’ll Learn:

• How AI is transforming risk frameworks in the energy sector
• The benefits of autonomous systems for visibility, ownership, and impact
• Why delaying action introduces greater long-term risk
• How to strengthen risk mitigation and decision-making
• How leadership teams can move from reactivity to strategy
• The foundational shifts in energy operations that made autonomy possible
• How to evaluate readiness and choose practical, low-risk pilot paths
• What gaps in infrastructure and regulation leaders must plan for

Why It Matters to Energy Leaders:

From pipeline integrity and upstream operations to grid reliability and planning, organizations across the energy value chain face rising levels of risk. This session will highlight how AI and autonomous systems are helping reduce downtime, enhance safety, and support regulatory compliance in complex, high-stakes environments.

Who Should Attend:

CISOs, Risk Officers, Energy and Utility Executives, Infrastructure Leaders, Heads of Digital Transformation

Key Takeaways:

• A structured approach to applying AI for technology risk
• Tools to turn visibility into action and measurable outcomes
• Guidance for coaching leadership through uncertain risk landscapes
• Real-world use cases of AI in energy risk management

Co-Hosts:

Steve Simpson, Al Lindseth, and Anup Sharma