Thomas Lee Young

Energy operations are becoming more complex. Operations teams are being asked to do more with less. Experienced talent is retiring, while expectations for safety, uptime, and efficiency continue to rise.

Agentic AI represents the next step forward for efficient and autonomous decision-making. These systems go beyond analyzing data. They can make informed decisions, detect issues early, and recommend actions before small problems become major events.

Implementing this across real-world operations is not simple. Scaling beyond a single site, integrating with OT systems, and ensuring workforce adoption can feel overwhelming.

This session explores how to move from pilot projects to meaningful, scalable impact and how Agentic AI can become a trusted extension of the workforce.

Key Themes: 

• How Agentic AI can help close the workforce gap when experienced talent is limited and operational demands continue to grow
• Common challenges in using Agentic AI to bridge the knowledge gap between corporate teams and field operators
• How to identify high-impact use cases where Agentic AI delivers the best ROI
• How to move from static dashboards and alerts to intelligent agents that proactively recommend resolution actions to the frontline