As BESS portfolios grow in scale and complexity, asset managers are being asked to make faster, better-informed decisions across performance, availability, maintenance, warranties, commercial impact, and stakeholder reporting. AI is opening new possibilities for how this work gets done, from faster analysis and reporting to more proactive decision support.
This session explores how AI could transform BESS asset management from reactive, manual coordination into AI-supported operational intelligence. It will look at where AI can add practical value today, what needs to be solved before it can become truly operational, and how the role of the asset manager may evolve as specialist AI assistants become part of the daily operating model.
Key takeaways:
Consider why the future of asset management is not autonomous decision-making, but human-led operational intelligence supported by AI.
Understand how AI could reshape the role of the BESS asset manager as portfolios become larger and more complex.
Explore where AI can create practical value across asset-management workflows, from analysis and reporting to prioritization and decision support.
Learn what needs to be solved for AI to move from ad hoc assistance to secure, connected, operational use.
See how specialist AI assistants could support workflows such as performance monitoring, maintenance, reporting, warranty management, and stakeholder communication.
