Autonomous agents require deterministic data to execute real-world tasks. LLMs hallucinate physical locations due to a reliance on static training data and a lack of persistent entity identifiers. We propose adopting the Global Entity Reference System (GERS) as an open foundational data layer to resolve these structural roadblocks.

Using travel booking and local commerce as reference models, this session demonstrates anchoring agent workflows to verified open map data. We detail integration mechanisms for open spatial graphs via private lookup tables. Attendees will learn specific protocols to eliminate AI data blind spots and ensure seamless cross-platform transaction execution.