Snowflake Expands Snowflake Intelligence and Cortex Code as Control Foundation for Agentic AI
Snowflake announced significant updates to Snowflake Intelligence and Cortex Code, enhancing the foundation for Agentic AI. The platform now allows AI agents to directly execute actions across various business systems based on governed enterprise data.
📋 Article Processing Timeline
- 📰 Published: April 22, 2026 at 20:00
- 🔍 Collected: April 23, 2026 at 00:02 (4h 2m after Published)
- 🤖 AI Analyzed: April 23, 2026 at 06:40 (6h 38m after Collected)
*This press release is an excerpt of the announcement made by Snowflake in the US on April 21.
Snowflake Intelligence transforms how business users turn insights into action through personalized, context-aware AI agents based on enterprise data.
Cortex Code enables developers to move from code to production faster with an AI-powered development environment that is agnostic to systems, tools, and environments.
Industry-leading companies such as Capita, Logitech, Telenav, United Rentals, and Wolfspeed are transitioning AI from experimental phases to production operations on Snowflake's integrated and governed platform.
AI Data Cloud company Snowflake (NYSE: SNOW) today announced significant updates to Snowflake Intelligence and Cortex Code, advancing its vision to become the control foundation for the agentic enterprise. As AI systems evolve from 'answering questions' to 'taking actions', these enhancements allow companies to connect more data sources, business systems, and AI models within Snowflake's trusted data and unified experience. This enables enterprises to align data, tools, and workflows with AI agents built on Snowflake, realizing seamless, data-driven actions that reflect how business is actually run.
Snowflake Intelligence acts as a personal work agent for business users, adapting over time as it learns individual user preferences and workflows to provide more relevant results and automate tasks. All of this is achieved while delivering deeply trusted insights based on governed enterprise data. Furthermore, Cortex Code has been expanded as a developer layer for enterprise AI, providing a governed, data-native development environment across the entire enterprise data ecosystem. This allows developers to create, orchestrate, and operate AI directly on the tools and systems they already use.
These purpose-built agents support diverse users and use cases across both technical and business teams, centralizing how enterprises govern, connect, and orchestrate data, models, and business applications. This solidifies Snowflake's position as the control foundation for enterprise AI.
Baris Gultekin, VP of AI at Snowflake, said: "AI is transforming operations in every enterprise, and the winning platforms will be those that make it easy to put AI into practice with the right data and guardrails. Snowflake makes it possible in one place to integrate data, connect with existing systems, and realize AI that truly helps teams in their daily work."
Snowflake Intelligence: Advancing the work of business users
Unlike other copilots and AI assistants, Snowflake Intelligence is an enterprise-ready solution that understands the holistic context of a company's business data and prioritizes reliability, governance, and security features. With the latest updates, Snowflake Intelligence provides a unified experience where users can interact with data, reason, and take action across business systems.
The key enhancements at the core of this evolution are as follows:
Automation of routine tasks: With the Skills feature (generally available soon), users can simply describe workflows—such as preparing presentations, multi-step analysis, or sending follow-ups—in natural language, and Snowflake Intelligence will automatically execute them. This eliminates manual work and makes repetition and sharing easy.
Integration with business tools: With new Model Context Protocol (MCP) connectors (generally available soon), Snowflake Intelligence directly integrates with business tools like Gmail, Google Calendar, Google Docs, Jira, Salesforce, and Slack, allowing users to complete tasks on the systems they already use.
Access on the go via mobile app:...
Snowflake Intelligence transforms how business users turn insights into action through personalized, context-aware AI agents based on enterprise data.
Cortex Code enables developers to move from code to production faster with an AI-powered development environment that is agnostic to systems, tools, and environments.
Industry-leading companies such as Capita, Logitech, Telenav, United Rentals, and Wolfspeed are transitioning AI from experimental phases to production operations on Snowflake's integrated and governed platform.
AI Data Cloud company Snowflake (NYSE: SNOW) today announced significant updates to Snowflake Intelligence and Cortex Code, advancing its vision to become the control foundation for the agentic enterprise. As AI systems evolve from 'answering questions' to 'taking actions', these enhancements allow companies to connect more data sources, business systems, and AI models within Snowflake's trusted data and unified experience. This enables enterprises to align data, tools, and workflows with AI agents built on Snowflake, realizing seamless, data-driven actions that reflect how business is actually run.
Snowflake Intelligence acts as a personal work agent for business users, adapting over time as it learns individual user preferences and workflows to provide more relevant results and automate tasks. All of this is achieved while delivering deeply trusted insights based on governed enterprise data. Furthermore, Cortex Code has been expanded as a developer layer for enterprise AI, providing a governed, data-native development environment across the entire enterprise data ecosystem. This allows developers to create, orchestrate, and operate AI directly on the tools and systems they already use.
These purpose-built agents support diverse users and use cases across both technical and business teams, centralizing how enterprises govern, connect, and orchestrate data, models, and business applications. This solidifies Snowflake's position as the control foundation for enterprise AI.
Baris Gultekin, VP of AI at Snowflake, said: "AI is transforming operations in every enterprise, and the winning platforms will be those that make it easy to put AI into practice with the right data and guardrails. Snowflake makes it possible in one place to integrate data, connect with existing systems, and realize AI that truly helps teams in their daily work."
Snowflake Intelligence: Advancing the work of business users
Unlike other copilots and AI assistants, Snowflake Intelligence is an enterprise-ready solution that understands the holistic context of a company's business data and prioritizes reliability, governance, and security features. With the latest updates, Snowflake Intelligence provides a unified experience where users can interact with data, reason, and take action across business systems.
The key enhancements at the core of this evolution are as follows:
Automation of routine tasks: With the Skills feature (generally available soon), users can simply describe workflows—such as preparing presentations, multi-step analysis, or sending follow-ups—in natural language, and Snowflake Intelligence will automatically execute them. This eliminates manual work and makes repetition and sharing easy.
Integration with business tools: With new Model Context Protocol (MCP) connectors (generally available soon), Snowflake Intelligence directly integrates with business tools like Gmail, Google Calendar, Google Docs, Jira, Salesforce, and Slack, allowing users to complete tasks on the systems they already use.
Access on the go via mobile app:...