Digital maps are constantly becoming outdated. While automated systems exist, they often fail to understand the real-world context, leading to unreliable data. This session presents a novel approach: a collaborative ecosystem of AI agents designed to create a "living map" that autonomously stays current. We will showcase a new architecture that moves beyond rigid data processing pipelines. Discover how we fuse the power of modern AI's semantic understanding with the precision of classical geometric algorithms. The result is a deterministic and auditable system that can intelligently analyze street-level imagery and produce trustworthy, high-quality updates for open mapping platforms. Attendees will gain insights into a practical framework for building sophisticated AI systems that can tackle complex, real-world problems with verifiable accuracy.