Organizations struggle with AI agents processing both structured and unstructured data, as LLMs handle text well but falter with databases, while NL2SQL models can generate inaccurate queries. Gemini Enterprise offers a unified AI interface, now enhanced by Looker's governed semantic layer for trusted structured data. This integration allows Looker analysts to publish conversational agents directly into Gemini Enterprise via a secure A2A protocol. This empowers employees with real-time, natural language access to governed business intelligence, reducing friction and fostering a data-driven culture.Looker's semantic layer eliminates guesswork in data queries, preventing inconsistent metrics and AI hallucinations by providing codified context. When a Gemini Enterprise user requests a business KPI, a Looker agent generates precise SQL based on version-controlled business logic, ensuring deterministic and predictable results. This integration prioritizes robust governance and secure access, employing a zero-risk pass-through architecture that doesn't ingest or store user data. Data access is controlled through OAuth authorization and Looker's existing row- and column-level access policies, maintaining strict security isolation. Technical capabilities include rich visual interactivity with native charts and interoperability with other agents, enabling complex multi-agent workflows. A robust, identity-centric authentication model ensures every query is authenticated at the user level, enforcing existing permission structures. This integration brings trusted data analytics, visualizations, and data storytelling directly into users' daily workspaces, bringing operational metrics to life.