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Streamlining Large Load Request Workflows in the Era of AI and Data Centers
As AI and data center demands surge, utilities face increasing pressure to manage complex and high-stakes large load requests. This session will delve into how utilities can modernize and streamline the load request process—reducing timelines, increasing transparency, and aligning internal stakeholders from application intake through energization.
Join Arizona Public Service and Clean Power Research to explore how they are transforming the large load request and generator interconnection processes using flexible workflow automation software. This session will emphasize practical best practices, showcasing how automation and AI are transforming the way utilities handle such requests, ensuring a more efficient and transparent end-to-end process.
Key Takeaways:
- Gain insights into the challenges and solutions for managing large load requests and queues
- Discover how workflow automation reduces time and effort for load request processing, coordination across teams, and developer communications, enabling faster processes and more accurate data.
- Learn how AI technologies can streamline data extraction and validation from load request attachments.
Session Sponsored by:
