Simon Data has launched Composable AI Agents for marketers, built natively on Snowflake Cortex AI and powered by Claude from Anthropic. They introduce a new operating model that provides marketers with direct, governed access to explore, identify, and activate data for personalization without requiring code or relying on data teams. The power of Composable AI Agents built on Cortex AI isn’t only that they execute—it’s where they execute. Simon’s agents run entirely inside the Snowflake environment. That means data, prompts, and activation all happen in place, under full enterprise governance, observability, and control. There’s no data movement, no black-box logic, and no compromise on speed or scale. Simon’s Composable AI Agents reveal hidden customer signals, integrate real-world context, and automate activation directly inside the data environment to unlock new capabilities. Imagine reaching customers who mentioned competitors in support calls. Or triggering offers to parents buying for teens who follow niche influencers. Or launching weather-based promotions to browsers in storm-affected regions. These use cases are no longer hypothetical. With Composable AI Agents, marketers gain hands-on control over signals and execution logic. Even small teams that once waited weeks for data pulls or SQL queries can now operate with the speed and precision of organizations with far more resources. With Simon, the marketing workflow doesn’t start with a segment; it starts with a goal, such as retaining customers, driving upsell, or increasing engagement in a specific region. Simon AI Blueprints turn these goals into agent-ready workflows—predefined strategies that guide how data is used, which signals to prioritize, and what activation logic to apply. From there, Simon’s Composable AI Agents work in concert to surface the right data, model the precise audiences, and activate campaigns. Three types of Composable AI Agents work alongside marketers to launch dynamic campaigns: Insights Agents analyze the full spectrum of customer interactions to surface high-impact campaign opportunities. Using Claude’s advanced reasoning capabilities, they identify patterns such as “customers buying kids’ products who mention back-to-school stress in support calls are 4x more likely to respond to convenience-focused messaging.” Marketers gain instant access to signals that would otherwise require custom analysis—no dashboards, no SQL, no handoffs. Data teams reduce exploration requests while enabling governed, self-service discovery inside Snowflake. Data Agents use breakthrough AI-generated “Smart Fields” technology to transform rich contextual data into actionable customer attributes. Instead of basic demographics, marketers now have access to insights like “weather sensitivity score” or “family purchase influence level.” Marketers can activate context without engineering lift or manual tagging. Data teams maintain full control over structure and access with zero data movement. Automation Agents execute campaigns using this deep contextual understanding, automatically creating and optimizing hundreds of adaptive micro-targeted campaigns. Marketers launch personalized campaigns in hours, not weeks. Data teams no longer export data or manage fragile reverse ETL pipelines.