Snowflake CoWork: The Personal Work Agent for Every Knowledge Worker

Snowflake CoWork: The Personal Work Agent for Every Knowledge Worker

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Blog / Product and Technology / Snowflake CoWork: The Personal Work Agent for Every Knowledge Worker

JUN 02, 2026 / 10 min read Product and Technology Snowflake CoWork: The Personal Work Agent for Every Knowledge Worker

Arun Agarwal +1

Over the past two years, AI has helped employees generate content, answer questions and accelerate analysis. But most AI systems still wait for instructions. The next leap is proactive collaboration: agents that understand your business, learn how you work, act safely across enterprise systems and help drive better decisions and faster execution.

With Snowflake CoWork (formerly Snowflake Intelligence) , companies can shift from using AI in reaction to requests to using it for active, collaborative assistance.

CoWork is a personal work agent for every knowledge worker. It can reason deeply, automate routine tasks and accelerate the path from ideas to decisions to action. By combining deep understanding, automation and enterprise context, CoWork helps organizations turn AI into measurable business outcomes.

“With Snowflake CoWork, we’ve reimagined how our teams interact with data. What used to require specialized analysts and manual requests is now accessible to hundreds of employees in real time. By automating routine queries and giving every team direct, trusted access to insights, we’ve reduced operational friction and enabled our data teams to focus on higher-impact work. The result is faster decisions, more efficient operations, and a scalable foundation for the next generation of AI at WHOOP."

Matt Luizzi

VP of Analytics at WHOOP

Figure 1: Snowflake CoWork: A personal work agent for every knowledge worker.

Understands your business deeply

An agent is only as good as its understanding of your business. Historically, getting AI systems to interpret enterprise data correctly has required weeks of setup before delivering meaningful value.

Cortex Sense (set for private preview soon) will introduce a foundational context layer that automatically learns how a business defines its data and operations. It will understand essential elements like key business metrics, relationships between data sources, and standard analytical processes without requiring extensive manual configuration.

Using signals from query history, metadata, dashboards in tools like Power BI and Tableau, and enterprise data outside Snowflake, Cortex Sense will understand concepts like revenue definitions, fiscal calendars and snapshot tables. This will enable CoWork to deliver more accurate, grounded answers from day 1.

This means knowledge workers will stop waiting on data teams to "set up AI" and start getting value from day one. Based on internal testing on complex enterprise queries, CoCo and CoWork achieved an 83% accuracy rate when using Cortex Sense compared to 47% for CoCo and CoWork alone, and 23% for Frontier Coding Agents with Snowflake MCP. This enables significantly more dependable business reasoning and decision support.

To accelerate adoption even further, Cortex Sense will include a series of ready-to-use plugins (private preview soon) for domains such as finance and sales. These plugins will combine skills, business logic and MCP connectors to help enterprises deploy production-ready agents faster. They will automatically ground agents in operational knowledge and enterprise context, enabling more accurate, domain-specific actions and insights. Teams can go from zero to a context-aware agent in minutes, not months.

This capability will work alongside Deep Research (set to be generally available soon) , allowing users to thoroughly examine complicated business questions across both structured and unstructured enterprise data. Powered by the agent swarm orchestration system built by Snowflake's AI Research Team , Deep Research delivers state-of-the-art performance across structured and unstructured enterprise data, outperforming single-agent systems by over a third on Snowflake's Hybrid Deep Research Benchmark .

Figure 2: Investigate complex questions across enterprise data using Deep Research.

Analytical Search (set for public preview) will incorporate multi-step analysis of unstructured data by conducting aggregation, comparison and trend analysis across vast collections of documents. Questions that once took weeks of manual effort will now be answered instantly with computed results.

For questions such as why gross margin is down in the EU or why renewals are slipping in APAC, CoWork will decompose the problem, run parallel research agents across structured and unstructured data, cross-validate findings and return a fully cited report in minutes. A finance leader can now ask, "Why is the EU gross margin down this quarter?" CoWork will analyze revenue, cost trends and currency effects from governed data, incorporate relevant business context and deliver an answer complete with citations. Teams can now complete in minutes work that would typically take a senior analyst days.

One personal agent that knows you

Every employee interacts with AI differently. A CMO needs campaign performance and budget pacing. A supply chain director needs inventory alerts and supplier lead times. With these innovations, every user gets a single agent that adapts to how they work instead of forcing them into the same workflow.

Multi-agent orchestration (coming in public preview soon) will allow CoWork to automatically direct every question to the best data, skills and tools, eliminating the need for users to manually select which workflow or system to engage. With personalized MCP connections and persistent memory across sessions, CoWork is designed to adapt to how each employee works and deliver a more seamless, context-aware experience over time.

Memory (public preview soon) for remembering user preferences and facts will give CoWork continuous personalization based on user interactions. CoWork will remember preferences, role-specific patterns and recurring tasks, so teams can move faster instead of starting over every session.

User Skills (coming in public preview soon) will let any user record and transform a multi-step routine into a reusable skill for the entire organization. These skills can automate routine tasks such as preparing a Monday recap, running a multi-step variance analysis, and drafting customer follow-ups, simply by describing the workflow in natural…