Snowflake for AI: Put Enterprise AI to Work

Snowflake for AI: Put Enterprise AI to Work

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Blog / AI & ML / Snowflake for AI: Putting Intelligence Where Work Happens

JUN 02, 2026 / 11 min read AI & ML Snowflake for AI: Putting Intelligence Where Work Happens

Baris Gultekin +2

AI is becoming the new operating model for the enterprise. Organizations are looking to transform how work gets done, from sales planning and finance reviews to customer operations, forecasting and decision-making at scale.

But production AI is fundamentally harder than a demo. Enterprise AI systems must understand business context, choose the right tools, reason across structured and unstructured data, follow enterprise policies and continuously improve while operating efficiently at scale. At enterprise scale, the hardest problem is no longer model intelligence alone; it's context. The next generation of enterprise AI will be defined by systems that can combine governed enterprise data, operational knowledge, and intelligent orchestration directly within business workflows.

With Snowflake's fully integrated platform for data and AI, more than 13,900 customers are bringing context-aware AI applications and operational workflows on governed enterprise data.

Today, Snowflake is introducing new innovations that help organizations bring intelligent agents where work happens: across workflows, business operations and enterprise applications, all governed by the same security, compliance, and operational controls organizations already trust.

From systems of insight to systems of action

For years, enterprise platforms helped organizations understand what happened. The next generation of AI platforms must help organizations decide what to do next, and increasingly, execute those decisions across enterprise workflows and applications.

This shifts AI from reactive question answering to proactive operational execution.

Instead of manually assembling dashboards, coordinating analyses and stitching together workflows across disconnected systems, teams can now describe business outcomes in natural language and have AI systems coordinate analysis, generate outputs and initiate workflows across the enterprise.

Rather than functioning as a chatbot layered on top of dashboards, enterprise AI becomes a governed execution layer for enterprise work.

Knowledge workers reap the benefits of AI with Snowflake CoWork

Snowflake CoWork (formerly Snowflake Intelligence) is a personal work agent that helps knowledge workers reason across enterprise data, automate workflows and take governed actions across the tools their teams already use.

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

Snowflake CoWork iOS app (generally available soon) allows employees to stay connected to enterprise intelligence wherever they work. Face ID authentication and conversation history let users take action on the go, whether from an airport, a customer meeting or on a conference show floor.

Snowflake CoWork Slack app (private preview soon) brings governed enterprise intelligence into Slack conversations where employees can ask CoWork questions in any Slack channel or thread, receive responses with rendered charts inline and follow up without leaving the platform.

Underpinning these experiences is Cortex Agents, Snowflake's managed agent framework for building enterprise AI agents that can plan tasks and invoke tools, so teams can deliver insights and take action across enterprise systems without managing orchestration, infrastructure or runtime complexity themselves.

“With Snowflake CoWork and Cortex Agents, leaders no longer have to rely on siloed portals or navigate disconnected tools to get answers. They can ask questions in natural language, directly from their browser or Microsoft Teams, and get trusted insights grounded in real enterprise data. What started as a digital transformation initiative has evolved into a fundamentally new way of working for Synopsys, and we’re continuing to discover new use cases across the organization.” Ramji Jagannathan

VP of Enterprise Digital Platforms at Synopsys

CoWork adapts to how employees work using enterprise context

Cortex Sense (private preview soon) learns how an organization defines its business, including workflows and relationships between data assets. Using query history, dashboards and agent trajectories Cortex Sense helps Snowflake CoCo and Snowflake CoWork to enable grounded business reasoning from day one. Furthermore, Semantic View Autopilot's ability to automatically ingest metrics and business logic from Power BI dashboards (public preview) , immediately converts an organization's BI assets into a governed semantic layer for agents. These foundations allow employees to move from searching for information to understanding and acting on it.

Deep Research (generally available soon) helps users investigate complex business questions and delivers state-of-the-art performance across enterprise data, outperforming single-agent systems by over a third on Snowflake's Hybrid Deep Research Benchmark . Analytical Search (public preview soon) enables computed analysis across document collections such as contracts and support. Together, these capabilities allow enterprise AI to reason across the full operational context of the business.

Multi-agent orchestration (public preview soon) automatically routes requests to the right tools and workflows, while persistent memory (public preview soon) allows CoWork to learn user preferences and recurring tasks over time.

User Skills (public preview soon) allows teams to capture workflows in natural language and turn them into reusable organizational capabilities. Skills can also invoke the Code Execution Tool (public preview soon) to generate governed business outputs such as reports (PDFs), presentations including PowerPoint decks, analyses and visualizations directly within CoWork. Skills and plugins can now also be shared ( private preview ) via a link, automatically discovered when you ask a question and governed with built-in RBAC and security scanning. Over time, organizations build shared operational knowledge instead of isolated workflows trapped in individual chats or notes.

Snowflake CoWork also makes enterprise intelligence reusable across teams. Artifacts (generally available soon) allow users to save and share live analyses, dashboards and conversations with full context preserved and governed by role-based access controls.…