• Share early thinking on which AI approaches may be applicable to different methane management challenges — and where potential remains unclear
• Discuss the importance of data availability, structure, and quality, and how current data limitations shape what AI can realistically achieve
• Reflect on initial pilots or internal explorations where AI has informed emissions detection, reporting, or operational insight
• Consider how AI outputs could eventually fit into existing monitoring systems, workflows, and compliance processes as maturity increases