Snowflake Introduces Project SnowWork, an Autonomous Enterprise AI Platform
Snowflake, the AI Data Cloud company, is unveiling the research preview of Project SnowWork, a new autonomous enterprise AI platform designed to help business users massively accelerate workflows.
Acting as a proactive AI partner, Project SnowWork empowers individuals and teams across the business to simply ask for what they need and have Project SnowWork securely complete multi-step tasks based on conversational prompts, according to the company.
Whether it’s building a board-ready forecast slide deck, creating a spreadsheet that identifies churn risks, or uncovering supply chain bottlenecks, Project SnowWork autonomously executes simple or complex workflows end-to-end to drive action.
“We are entering the era of the agentic enterprise, ushering in a fundamentally new way to work. This shift is about much more than technology, it’s about unlocking new levels of productivity and efficiency by embedding intelligence directly into the operating fabric of the enterprise,” said Sridhar Ramaswamy, chief executive officer, Snowflake. “Project SnowWork looks to put secure, data-grounded AI agents on every surface, so business leaders and operators can move from question to action instantly. By elevating AI from experimentation to enterprise-grade autonomous execution, Project SnowWork serves as the secure foundation for how modern enterprises will get work done in the AI era.”
The rise of the agentic enterprise is not just about answering questions with AI, rather, it’s a shift to using AI to drive decisions and action, the company said. This future will require enterprises to connect intelligence, applications, and enterprise data and context into a trusted foundation that can continuously coordinate action at scale.
Project SnowWork makes this possible by bringing Snowflake’s enterprise data platform and AI capabilities directly to business users through a simple, outcome-driven desktop experience. Project SnowWork can:
- Plan and autonomously execute simple or complex multi-step workflows across governed Snowflake data to deliver finished outputs—from reprioritizing sales territories to executive-ready presentations.
- Generate analysis with recommended actions, turning insights into prioritized next steps tailored to each business role.
- Securely orchestrate data, AI, and enterprise systems to complete tasks end-to-end, reducing backlogs and accelerating decisions.
Unlike general-purpose AI agents, Project SnowWork is built on a single enterprise-wide source of truth with governed metrics, shared business definitions, cross-cloud interoperability, and built-in security and auditability, said the vendor.
Key capabilities Project SnowWork delivers include:
- Pre-built, persona-specific skills
- Multi-step task completion
- Built-in security and access control
Project SnowWork closes securely embeds AI into the flow of work, enabling every employee to operate with the speed, precision, and insight once reserved for data specialists.
Snowflake’s portfolio of AI products enables every employee to use AI on trusted, governed data so organizations can embrace the agentic enterprise where intelligence drives secure, data-driven action across the business.
For business users, Snowflake Intelligence is the enterprise intelligence agent built to turn all the knowledge within an organization into trusted business insights. It enables every employee to ask complex questions in natural language and move beyond the “what” to uncover the critical “why.”
For builders that want to turn complex data engineering, analytics, machine learning, and agent-building tasks into simple, informed interactions, Cortex Code is a data-native AI coding agent that automates and accelerates end-to-end enterprise development. It generates production-ready code, orchestrates workflows, and enforces best practices, enabling teams to move from prototype to deployment with speed and confidence, said Snowflake.
For more information about this news, visit www.snowflake.com.