At Snowflake Summit 2026, Snowflake unveiled a range of new capabilities designed to help organizations build, deploy, and govern agentic AI systems using trusted enterprise data. The announcements reflect a broader shift in the market as companies move beyond AI experimentation and focus on delivering production-ready AI applications that generate measurable business value.

A key theme throughout the event was the growing role of AI agents that can perform tasks, automate workflows, and support decision-making across the enterprise. Snowflake emphasized that while access to AI models is becoming increasingly commoditized, enterprise success will depend on secure, governed, and interoperable data foundations.

Among the headline announcements was Snowflake CoWork, formerly Snowflake Intelligence, which is designed to serve as a personal AI work agent for knowledge workers. The platform can help users automate tasks, generate deliverables, surface insights, and interact with enterprise systems through natural language. Snowflake also introduced Artifacts, enabling users to save and share analyses, dashboards, and AI-generated outputs with role-based governance controls.

The company also highlighted Deep Research, a capability that uses agent orchestration to investigate complex business questions across enterprise data sources. According to Snowflake, the feature is designed to help organizations conduct more sophisticated analysis using multiple AI agents working together.

For developers, Snowflake expanded CoCo (formerly Cortex Code), its AI coding assistant, with new automation and deployment capabilities. Updates include a desktop application, scheduled automations, cloud APIs, and a secure local sandbox environment intended to allow agent execution in an isolated setting.

Snowflake also introduced Cortex Sense, a new enterprise memory layer that automatically learns organizational context from query history, metadata, and dashboards. The company said the capability improves how AI agents understand business concepts and context, reporting an accuracy improvement of 83% compared with 24% without enterprise context.

To support enterprise adoption, Snowflake announced additional governance and security enhancements through its Horizon platform. The company said these capabilities are intended to help organizations maintain visibility, control, compliance, and trust as AI agents access data and execute workflows across business systems.